import pandas as pd
import numpy as np
from sklearn.cluster import DBSCAN, AgglomerativeClustering, OPTICS
from sklearn.metrics.cluster import (homogeneity_score, silhouette_score, davies_bouldin_score,
adjusted_rand_score, calinski_harabasz_score, adjusted_mutual_info_score,
v_measure_score, completeness_score)
from sklearn.datasets import make_moons
from collections import defaultdict
import itertools
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings('ignore')
pd.set_option('display.max.rows', None)
dataset = make_moons(n_samples=2000, noise=0.75)
data, labels = dataset
clustering_algorithms = (DBSCAN, AgglomerativeClustering, OPTICS)
clustering_algorithms_titles = ('DBSCAN', 'AgglomerativeClustering', 'OPTICS')
clustering_metrics = (homogeneity_score, silhouette_score, davies_bouldin_score, adjusted_rand_score,
calinski_harabasz_score, adjusted_mutual_info_score, v_measure_score, completeness_score)
clustering_metrics_titles = ('homogeneity_score', 'silhouette_score', 'davies_bouldin_score',
'adjusted_rand_index', 'calinski_harabasz_score', 'adjusted_mutual_info',
'v_measure_score', 'completeness_score'
)
labels_mapping = {}
metrics_dataframe = pd.DataFrame(index=clustering_algorithms_titles, columns=clustering_metrics_titles)
for clustering_algorithm, clustering_algorithms_title in zip(clustering_algorithms, clustering_algorithms_titles):
algorithm = clustering_algorithm()
tmp_predictions = algorithm.fit_predict(data)
labels_mapping[clustering_algorithms_title] = tmp_predictions
for metric, metric_title in zip(clustering_metrics, clustering_metrics_titles):
if metric_title not in ('silhouette_score', 'davies_bouldin_score', 'calinski_harabasz_score'):
metrics_dataframe.loc[clustering_algorithms_title, metric_title] = metric(labels, tmp_predictions)
else:
metrics_dataframe.loc[clustering_algorithms_title, metric_title] = metric(data, labels)
metrics_dataframe.index.name = 'clustering_algorithm'
metrics_dataframe
| homogeneity_score | silhouette_score | davies_bouldin_score | adjusted_rand_index | calinski_harabasz_score | adjusted_mutual_info | v_measure_score | completeness_score | |
|---|---|---|---|---|---|---|---|---|
| clustering_algorithm | ||||||||
| DBSCAN | 0 | 0.134101 | 1.97292 | -7.97205e-06 | 408.465 | -0.000752646 | 0 | 0 |
| AgglomerativeClustering | 0.115096 | 0.134101 | 1.97292 | 0.153244 | 408.465 | 0.11516 | 0.11548 | 0.115867 |
| OPTICS | 0.141913 | 0.134101 | 1.97292 | 0.00101 | 408.465 | 0.0378084 | 0.0549031 | 0.0340353 |
def highlight_min(data, color='yellow'):
attr = 'background-color: {}'.format(color)
data = data.replace('%','', regex=True).astype(float)
if data.ndim == 1:
bound = data == data.min()
return [attr if row else '' for row in bound]
else:
bound = data == data.min().min()
return pd.DataFrame(np.where(bound, attr, ''), index=data.index, columns=data.columns)
def highlight_max(data, color='yellow'):
attr = 'background-color: {}'.format(color)
data = data.replace('%','', regex=True).astype(float)
if data.ndim == 1:
bound = data == data.max()
return [attr if row else '' for row in bound]
else:
bound = data == data.max().max()
return pd.DataFrame(np.where(bound, attr, ''), index=data.index, columns=data.columns)
metrics_best_mapping = {'davies_bouldin_score': highlight_min,
'calinski_harabasz_score': highlight_max,
'silhouette_score': highlight_max,
'homogeneity_score': highlight_max,
'adjusted_rand_index': highlight_max,
'adjusted_mutual_info': highlight_max,
'v_measure_score': highlight_max,
'completeness_score': highlight_max
}
metrics_min = ['davies_bouldin_score']
metrics_max = list(set(clustering_metrics_titles) - set(metrics_min))
metrics_dataframe[metrics_min].style.apply(highlight_min)
| davies_bouldin_score | |
|---|---|
| clustering_algorithm | |
| DBSCAN | 1.972918 |
| AgglomerativeClustering | 1.972918 |
| OPTICS | 1.972918 |
metrics_dataframe[metrics_max].style.apply(highlight_max)
| homogeneity_score | v_measure_score | completeness_score | adjusted_mutual_info | adjusted_rand_index | calinski_harabasz_score | silhouette_score | |
|---|---|---|---|---|---|---|---|
| clustering_algorithm | |||||||
| DBSCAN | 0.000000 | 0.000000 | 0.000000 | -0.000753 | -0.000008 | 408.464819 | 0.134101 |
| AgglomerativeClustering | 0.115096 | 0.115480 | 0.115867 | 0.115160 | 0.153244 | 408.464819 | 0.134101 |
| OPTICS | 0.141913 | 0.054903 | 0.034035 | 0.037808 | 0.001010 | 408.464819 | 0.134101 |
Agglomerative Clustering seems to be the best algorithm, according to clusterization metrics
fig, axs = plt.subplots(nrows=len(clustering_algorithms_titles), ncols=1, figsize=(10, 20))
idx = 0
for clustering_algorithm, labels in labels_mapping.items():
colors_mapping = [(item/255.) for item in labels]
axs[idx].scatter(data[:, 0], data[:, 1], c=colors_mapping);
axs[idx].set_title('{}, number of selected clusters: {}'.format(clustering_algorithm, len(set(labels))))
idx += 1
min_samples_range = range(2, 10)
distance_metrics = ('euclidean', 'l1', 'l2', 'manhattan', 'cosine', 'chebyshev')
epsilons_range = (1e-5, 1e-4, 1e-3, 0.01, 0.1)
dbscan_clustering_labels_mapping = {eps: {metrics: {samples: None for samples in min_samples_range}
for metrics in distance_metrics}
for eps in epsilons_range}
index = pd.MultiIndex.from_product((min_samples_range, distance_metrics, epsilons_range))
metrics_dataframe_dbscan = pd.DataFrame(index=index, columns=clustering_metrics_titles)
for min_samples, distance_metric, epsilon in itertools.product(min_samples_range, distance_metrics, epsilons_range):
algorithm = DBSCAN(min_samples=min_samples, metric=distance_metric, eps=epsilon)
dbscan_predictions = algorithm.fit_predict(data)
dbscan_clustering_labels_mapping[epsilon][distance_metric][min_samples] = dbscan_predictions
for metric, metric_title in zip(clustering_metrics, clustering_metrics_titles):
if metric_title not in ('silhouette_score', 'davies_bouldin_score', 'calinski_harabasz_score'):
metrics_dataframe_dbscan.loc[(min_samples, distance_metric, epsilon), metric_title] = metric(
labels, dbscan_predictions)
else:
metrics_dataframe_dbscan.loc[(min_samples, distance_metric, epsilon), metric_title] = metric(data, labels)
metrics_dataframe_dbscan.index.names = ['min_samples', 'metrics', 'epsilon']
metrics_dataframe_dbscan
| homogeneity_score | silhouette_score | davies_bouldin_score | adjusted_rand_index | calinski_harabasz_score | adjusted_mutual_info | v_measure_score | completeness_score | |||
|---|---|---|---|---|---|---|---|---|---|---|
| min_samples | metrics | epsilon | ||||||||
| 2 | euclidean | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | 0.00212968 | -0.209239 | 1.65569 | 0.000188881 | 10.6631 | 0.000901936 | 0.00423619 | 0.389229 | ||
| 0.01000 | 0.0597561 | -0.209239 | 1.65569 | 0.0281215 | 10.6631 | 0.0453195 | 0.106962 | 0.509305 | ||
| 0.10000 | 0.331754 | -0.209239 | 1.65569 | -0.061022 | 10.6631 | 0.200227 | 0.375183 | 0.431694 | ||
| l1 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | 0.00212968 | -0.209239 | 1.65569 | 0.000188881 | 10.6631 | 0.000901936 | 0.00423619 | 0.389229 | ||
| 0.01000 | 0.0401821 | -0.209239 | 1.65569 | 0.0205699 | 10.6631 | 0.0324298 | 0.074655 | 0.525432 | ||
| 0.10000 | 0.578801 | -0.209239 | 1.65569 | 0.0384051 | 10.6631 | 0.329033 | 0.518904 | 0.470241 | ||
| l2 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | 0.00212968 | -0.209239 | 1.65569 | 0.000188881 | 10.6631 | 0.000901936 | 0.00423619 | 0.389229 | ||
| 0.01000 | 0.0597561 | -0.209239 | 1.65569 | 0.0281215 | 10.6631 | 0.0453195 | 0.106962 | 0.509305 | ||
| 0.10000 | 0.331754 | -0.209239 | 1.65569 | -0.061022 | 10.6631 | 0.200227 | 0.375183 | 0.431694 | ||
| manhattan | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | 0.00212968 | -0.209239 | 1.65569 | 0.000188881 | 10.6631 | 0.000901936 | 0.00423619 | 0.389229 | ||
| 0.01000 | 0.0401821 | -0.209239 | 1.65569 | 0.0205699 | 10.6631 | 0.0324298 | 0.074655 | 0.525432 | ||
| 0.10000 | 0.578801 | -0.209239 | 1.65569 | 0.0384051 | 10.6631 | 0.329033 | 0.518904 | 0.470241 | ||
| cosine | 0.00001 | 0.611106 | -0.209239 | 1.65569 | 0.00310503 | 10.6631 | 0.11063 | 0.43854 | 0.341973 | |
| 0.00010 | 0.289466 | -0.209239 | 1.65569 | -0.0400928 | 10.6631 | 0.19225 | 0.329548 | 0.382513 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| chebyshev | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | 0.00212968 | -0.209239 | 1.65569 | 0.000188881 | 10.6631 | 0.000901936 | 0.00423619 | 0.389229 | ||
| 0.01000 | 0.0685236 | -0.209239 | 1.65569 | 0.0332633 | 10.6631 | 0.0526444 | 0.120935 | 0.514338 | ||
| 0.10000 | 0.188671 | -0.209239 | 1.65569 | -0.0984233 | 10.6631 | 0.100187 | 0.250294 | 0.371696 | ||
| 3 | euclidean | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.309783 | -0.209239 | 1.65569 | -0.0438736 | 10.6631 | 0.227516 | 0.370036 | 0.459385 | ||
| l1 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.535455 | -0.209239 | 1.65569 | 0.0924593 | 10.6631 | 0.37282 | 0.522862 | 0.510849 | ||
| l2 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.309783 | -0.209239 | 1.65569 | -0.0438736 | 10.6631 | 0.227516 | 0.370036 | 0.459385 | ||
| manhattan | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.535455 | -0.209239 | 1.65569 | 0.0924593 | 10.6631 | 0.37282 | 0.522862 | 0.510849 | ||
| cosine | 0.00001 | 0.545079 | -0.209239 | 1.65569 | 0.00724173 | 10.6631 | 0.11938 | 0.417109 | 0.337802 | |
| 0.00010 | 0.288982 | -0.209239 | 1.65569 | -0.0400973 | 10.6631 | 0.192117 | 0.329132 | 0.382238 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| chebyshev | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | 0.00285043 | -0.209239 | 1.65569 | 0.000254821 | 10.6631 | 0.00118594 | 0.00565682 | 0.366101 | ||
| 0.10000 | 0.177531 | -0.209239 | 1.65569 | -0.0884698 | 10.6631 | 0.12751 | 0.246054 | 0.400721 | ||
| 4 | euclidean | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.351188 | -0.209239 | 1.65569 | 0.0374633 | 10.6631 | 0.324129 | 0.430417 | 0.55581 | ||
| l1 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.510729 | -0.209239 | 1.65569 | 0.209859 | 10.6631 | 0.438721 | 0.549228 | 0.594005 | ||
| l2 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.351188 | -0.209239 | 1.65569 | 0.0374633 | 10.6631 | 0.324129 | 0.430417 | 0.55581 | ||
| manhattan | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.510729 | -0.209239 | 1.65569 | 0.209859 | 10.6631 | 0.438721 | 0.549228 | 0.594005 | ||
| cosine | 0.00001 | 0.478999 | -0.209239 | 1.65569 | 0.0194364 | 10.6631 | 0.120729 | 0.395245 | 0.336421 | |
| 0.00010 | 0.306394 | -0.209239 | 1.65569 | -0.0433273 | 10.6631 | 0.203502 | 0.340899 | 0.384161 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| chebyshev | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.205542 | -0.209239 | 1.65569 | -0.0569046 | 10.6631 | 0.190202 | 0.285743 | 0.468578 | ||
| 5 | euclidean | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.357622 | -0.209239 | 1.65569 | 0.0858907 | 10.6631 | 0.355875 | 0.448583 | 0.601598 | ||
| l1 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.505316 | -0.209239 | 1.65569 | 0.25479 | 10.6631 | 0.44343 | 0.550532 | 0.604636 | ||
| l2 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.357622 | -0.209239 | 1.65569 | 0.0858907 | 10.6631 | 0.355875 | 0.448583 | 0.601598 | ||
| manhattan | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.505316 | -0.209239 | 1.65569 | 0.25479 | 10.6631 | 0.44343 | 0.550532 | 0.604636 | ||
| cosine | 0.00001 | 0.418196 | -0.209239 | 1.65569 | 0.0585298 | 10.6631 | 0.13328 | 0.379441 | 0.347259 | |
| 0.00010 | 0.303195 | -0.209239 | 1.65569 | -0.0432437 | 10.6631 | 0.202574 | 0.338433 | 0.382939 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| chebyshev | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.244589 | -0.209239 | 1.65569 | -0.0197397 | 10.6631 | 0.250736 | 0.336414 | 0.538628 | ||
| 6 | euclidean | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.357512 | -0.209239 | 1.65569 | 0.131179 | 10.6631 | 0.368412 | 0.453451 | 0.619766 | ||
| l1 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.419073 | -0.209239 | 1.65569 | 0.210664 | 10.6631 | 0.39217 | 0.496935 | 0.610332 | ||
| l2 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.357512 | -0.209239 | 1.65569 | 0.131179 | 10.6631 | 0.368412 | 0.453451 | 0.619766 | ||
| manhattan | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.419073 | -0.209239 | 1.65569 | 0.210664 | 10.6631 | 0.39217 | 0.496935 | 0.610332 | ||
| cosine | 0.00001 | 0.317186 | -0.209239 | 1.65569 | 0.057531 | 10.6631 | 0.109752 | 0.327983 | 0.339542 | |
| 0.00010 | 0.312632 | -0.209239 | 1.65569 | -0.039032 | 10.6631 | 0.211111 | 0.345744 | 0.386701 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| chebyshev | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.273424 | -0.209239 | 1.65569 | 0.0273987 | 10.6631 | 0.287674 | 0.368801 | 0.566364 | ||
| 7 | euclidean | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.302881 | -0.209239 | 1.65569 | 0.136618 | 10.6631 | 0.337327 | 0.407557 | 0.622796 | ||
| l1 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.339161 | -0.209239 | 1.65569 | 0.156088 | 10.6631 | 0.319387 | 0.430648 | 0.589723 | ||
| l2 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.302881 | -0.209239 | 1.65569 | 0.136618 | 10.6631 | 0.337327 | 0.407557 | 0.622796 | ||
| manhattan | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.339161 | -0.209239 | 1.65569 | 0.156088 | 10.6631 | 0.319387 | 0.430648 | 0.589723 | ||
| cosine | 0.00001 | 0.224995 | -0.209239 | 1.65569 | 0.0681203 | 10.6631 | 0.100778 | 0.273502 | 0.348671 | |
| 0.00010 | 0.31269 | -0.209239 | 1.65569 | -0.0401478 | 10.6631 | 0.199504 | 0.342124 | 0.377674 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| chebyshev | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.245809 | -0.209239 | 1.65569 | 0.046511 | 10.6631 | 0.271405 | 0.341076 | 0.556918 | ||
| 8 | euclidean | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.364015 | -0.209239 | 1.65569 | 0.157489 | 10.6631 | 0.359414 | 0.446923 | 0.578735 | ||
| l1 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.23904 | -0.209239 | 1.65569 | 0.105102 | 10.6631 | 0.23783 | 0.338547 | 0.57998 | ||
| l2 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.364015 | -0.209239 | 1.65569 | 0.157489 | 10.6631 | 0.359414 | 0.446923 | 0.578735 | ||
| manhattan | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.23904 | -0.209239 | 1.65569 | 0.105102 | 10.6631 | 0.23783 | 0.338547 | 0.57998 | ||
| cosine | 0.00001 | 0.147984 | -0.209239 | 1.65569 | 0.0464943 | 10.6631 | 0.076558 | 0.207688 | 0.348151 | |
| 0.00010 | 0.315485 | -0.209239 | 1.65569 | -0.0388738 | 10.6631 | 0.201754 | 0.344345 | 0.379018 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| chebyshev | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.256338 | -0.209239 | 1.65569 | 0.0809764 | 10.6631 | 0.284938 | 0.352519 | 0.56422 | ||
| 9 | euclidean | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.287244 | -0.209239 | 1.65569 | 0.0946173 | 10.6631 | 0.286173 | 0.37246 | 0.529564 | ||
| l1 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.167686 | -0.209239 | 1.65569 | 0.0826433 | 10.6631 | 0.18165 | 0.263297 | 0.612579 | ||
| l2 | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.287244 | -0.209239 | 1.65569 | 0.0946173 | 10.6631 | 0.286173 | 0.37246 | 0.529564 | ||
| manhattan | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.167686 | -0.209239 | 1.65569 | 0.0826433 | 10.6631 | 0.18165 | 0.263297 | 0.612579 | ||
| cosine | 0.00001 | 0.106951 | -0.209239 | 1.65569 | 0.0426508 | 10.6631 | 0.0584434 | 0.163737 | 0.349084 | |
| 0.00010 | 0.294291 | -0.209239 | 1.65569 | -0.0350197 | 10.6631 | 0.200848 | 0.331786 | 0.380232 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| chebyshev | 0.00001 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | |
| 0.00010 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.00100 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.01000 | -8.40311e-18 | -0.209239 | 1.65569 | 0 | 10.6631 | -7.8269e-17 | -1.68062e-17 | 1 | ||
| 0.10000 | 0.30465 | -0.209239 | 1.65569 | 0.112639 | 10.6631 | 0.312983 | 0.389916 | 0.541462 |
metrics_dataframe_dbscan[metrics_min].style.apply(highlight_min)
| davies_bouldin_score | |||
|---|---|---|---|
| min_samples | metrics | epsilon | |
| 2 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 3 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 4 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 5 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 6 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 7 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 8 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 9 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 |
metrics_dataframe_dbscan[metrics_max].style.apply(highlight_max)
| homogeneity_score | v_measure_score | completeness_score | adjusted_mutual_info | adjusted_rand_index | calinski_harabasz_score | silhouette_score | |||
|---|---|---|---|---|---|---|---|---|---|
| min_samples | metrics | epsilon | |||||||
| 2 | euclidean | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | 0.002130 | 0.004236 | 0.389229 | 0.000902 | 0.000189 | 10.663137 | -0.209239 | ||
| 0.01 | 0.059756 | 0.106962 | 0.509305 | 0.045320 | 0.028122 | 10.663137 | -0.209239 | ||
| 0.1 | 0.331754 | 0.375183 | 0.431694 | 0.200227 | -0.061022 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | 0.002130 | 0.004236 | 0.389229 | 0.000902 | 0.000189 | 10.663137 | -0.209239 | ||
| 0.01 | 0.040182 | 0.074655 | 0.525432 | 0.032430 | 0.020570 | 10.663137 | -0.209239 | ||
| 0.1 | 0.578801 | 0.518904 | 0.470241 | 0.329033 | 0.038405 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | 0.002130 | 0.004236 | 0.389229 | 0.000902 | 0.000189 | 10.663137 | -0.209239 | ||
| 0.01 | 0.059756 | 0.106962 | 0.509305 | 0.045320 | 0.028122 | 10.663137 | -0.209239 | ||
| 0.1 | 0.331754 | 0.375183 | 0.431694 | 0.200227 | -0.061022 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | 0.002130 | 0.004236 | 0.389229 | 0.000902 | 0.000189 | 10.663137 | -0.209239 | ||
| 0.01 | 0.040182 | 0.074655 | 0.525432 | 0.032430 | 0.020570 | 10.663137 | -0.209239 | ||
| 0.1 | 0.578801 | 0.518904 | 0.470241 | 0.329033 | 0.038405 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.611106 | 0.438540 | 0.341973 | 0.110630 | 0.003105 | 10.663137 | -0.209239 | |
| 0.0001 | 0.289466 | 0.329548 | 0.382513 | 0.192250 | -0.040093 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | 0.002130 | 0.004236 | 0.389229 | 0.000902 | 0.000189 | 10.663137 | -0.209239 | ||
| 0.01 | 0.068524 | 0.120935 | 0.514338 | 0.052644 | 0.033263 | 10.663137 | -0.209239 | ||
| 0.1 | 0.188671 | 0.250294 | 0.371696 | 0.100187 | -0.098423 | 10.663137 | -0.209239 | ||
| 3 | euclidean | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.309783 | 0.370036 | 0.459385 | 0.227516 | -0.043874 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.535455 | 0.522862 | 0.510849 | 0.372820 | 0.092459 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.309783 | 0.370036 | 0.459385 | 0.227516 | -0.043874 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.535455 | 0.522862 | 0.510849 | 0.372820 | 0.092459 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.545079 | 0.417109 | 0.337802 | 0.119380 | 0.007242 | 10.663137 | -0.209239 | |
| 0.0001 | 0.288982 | 0.329132 | 0.382238 | 0.192117 | -0.040097 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | 0.002850 | 0.005657 | 0.366101 | 0.001186 | 0.000255 | 10.663137 | -0.209239 | ||
| 0.1 | 0.177531 | 0.246054 | 0.400721 | 0.127510 | -0.088470 | 10.663137 | -0.209239 | ||
| 4 | euclidean | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.351188 | 0.430417 | 0.555810 | 0.324129 | 0.037463 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.510729 | 0.549228 | 0.594005 | 0.438721 | 0.209859 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.351188 | 0.430417 | 0.555810 | 0.324129 | 0.037463 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.510729 | 0.549228 | 0.594005 | 0.438721 | 0.209859 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.478999 | 0.395245 | 0.336421 | 0.120729 | 0.019436 | 10.663137 | -0.209239 | |
| 0.0001 | 0.306394 | 0.340899 | 0.384161 | 0.203502 | -0.043327 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.205542 | 0.285743 | 0.468578 | 0.190202 | -0.056905 | 10.663137 | -0.209239 | ||
| 5 | euclidean | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.357622 | 0.448583 | 0.601598 | 0.355875 | 0.085891 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.505316 | 0.550532 | 0.604636 | 0.443430 | 0.254790 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.357622 | 0.448583 | 0.601598 | 0.355875 | 0.085891 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.505316 | 0.550532 | 0.604636 | 0.443430 | 0.254790 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.418196 | 0.379441 | 0.347259 | 0.133280 | 0.058530 | 10.663137 | -0.209239 | |
| 0.0001 | 0.303195 | 0.338433 | 0.382939 | 0.202574 | -0.043244 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.244589 | 0.336414 | 0.538628 | 0.250736 | -0.019740 | 10.663137 | -0.209239 | ||
| 6 | euclidean | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.357512 | 0.453451 | 0.619766 | 0.368412 | 0.131179 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.419073 | 0.496935 | 0.610332 | 0.392170 | 0.210664 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.357512 | 0.453451 | 0.619766 | 0.368412 | 0.131179 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.419073 | 0.496935 | 0.610332 | 0.392170 | 0.210664 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.317186 | 0.327983 | 0.339542 | 0.109752 | 0.057531 | 10.663137 | -0.209239 | |
| 0.0001 | 0.312632 | 0.345744 | 0.386701 | 0.211111 | -0.039032 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.273424 | 0.368801 | 0.566364 | 0.287674 | 0.027399 | 10.663137 | -0.209239 | ||
| 7 | euclidean | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.302881 | 0.407557 | 0.622796 | 0.337327 | 0.136618 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.339161 | 0.430648 | 0.589723 | 0.319387 | 0.156088 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.302881 | 0.407557 | 0.622796 | 0.337327 | 0.136618 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.339161 | 0.430648 | 0.589723 | 0.319387 | 0.156088 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.224995 | 0.273502 | 0.348671 | 0.100778 | 0.068120 | 10.663137 | -0.209239 | |
| 0.0001 | 0.312690 | 0.342124 | 0.377674 | 0.199504 | -0.040148 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.245809 | 0.341076 | 0.556918 | 0.271405 | 0.046511 | 10.663137 | -0.209239 | ||
| 8 | euclidean | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.364015 | 0.446923 | 0.578735 | 0.359414 | 0.157489 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.239040 | 0.338547 | 0.579980 | 0.237830 | 0.105102 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.364015 | 0.446923 | 0.578735 | 0.359414 | 0.157489 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.239040 | 0.338547 | 0.579980 | 0.237830 | 0.105102 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.147984 | 0.207688 | 0.348151 | 0.076558 | 0.046494 | 10.663137 | -0.209239 | |
| 0.0001 | 0.315485 | 0.344345 | 0.379018 | 0.201754 | -0.038874 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.256338 | 0.352519 | 0.564220 | 0.284938 | 0.080976 | 10.663137 | -0.209239 | ||
| 9 | euclidean | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.287244 | 0.372460 | 0.529564 | 0.286173 | 0.094617 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.167686 | 0.263297 | 0.612579 | 0.181650 | 0.082643 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.287244 | 0.372460 | 0.529564 | 0.286173 | 0.094617 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.167686 | 0.263297 | 0.612579 | 0.181650 | 0.082643 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.106951 | 0.163737 | 0.349084 | 0.058443 | 0.042651 | 10.663137 | -0.209239 | |
| 0.0001 | 0.294291 | 0.331786 | 0.380232 | 0.200848 | -0.035020 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | |
| 0.0001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.001 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.01 | -0.000000 | -0.000000 | 1.000000 | -0.000000 | 0.000000 | 10.663137 | -0.209239 | ||
| 0.1 | 0.304650 | 0.389916 | 0.541462 | 0.312983 | 0.112639 | 10.663137 | -0.209239 |
Seems like epsilon 0.1 with 4 clusters and L1 or 5 clusters and manhattan metrics are the best for DBSCAN algorithm
min_samples_range = range(2, 10)
distance_metrics = ('euclidean', 'l1', 'l2', 'manhattan', 'cosine', 'chebyshev')
epsilons_range = (1e-5, 1e-4, 1e-3, 0.01, 0.1)
optics_clustering_labels_mapping = {eps: {metrics: {samples: None for samples in min_samples_range}
for metrics in distance_metrics}
for eps in epsilons_range}
index = pd.MultiIndex.from_product((min_samples_range, distance_metrics, epsilons_range))
metrics_dataframe_optics = pd.DataFrame(index=index, columns=clustering_metrics_titles)
for min_samples, distance_metric, epsilon in itertools.product(min_samples_range, distance_metrics, epsilons_range):
algorithm = OPTICS(min_samples=min_samples, metric=distance_metric, eps=epsilon)
optics_predictions = algorithm.fit_predict(data)
optics_clustering_labels_mapping[epsilon][distance_metric][min_samples] = optics_predictions
for metric, metric_title in zip(clustering_metrics, clustering_metrics_titles):
if metric_title not in ('silhouette_score', 'davies_bouldin_score', 'calinski_harabasz_score'):
metrics_dataframe_optics.loc[(min_samples, distance_metric, epsilon), metric_title] = metric(
labels, optics_predictions)
else:
metrics_dataframe_optics.loc[(min_samples, distance_metric, epsilon), metric_title] = metric(data, labels)
metrics_dataframe_optics.index.names = ['min_samples', 'metrics', 'epsilon']
metrics_dataframe_optics
| homogeneity_score | silhouette_score | davies_bouldin_score | adjusted_rand_index | calinski_harabasz_score | adjusted_mutual_info | v_measure_score | completeness_score | |||
|---|---|---|---|---|---|---|---|---|---|---|
| min_samples | metrics | epsilon | ||||||||
| 2 | euclidean | 0.00001 | 0.835575 | -0.209239 | 1.65569 | 0.0185687 | 10.6631 | 0.238611 | 0.561198 | 0.422471 |
| 0.00010 | 0.835575 | -0.209239 | 1.65569 | 0.0185687 | 10.6631 | 0.238611 | 0.561198 | 0.422471 | ||
| 0.00100 | 0.835575 | -0.209239 | 1.65569 | 0.0185687 | 10.6631 | 0.238611 | 0.561198 | 0.422471 | ||
| 0.01000 | 0.835575 | -0.209239 | 1.65569 | 0.0185687 | 10.6631 | 0.238611 | 0.561198 | 0.422471 | ||
| 0.10000 | 0.835575 | -0.209239 | 1.65569 | 0.0185687 | 10.6631 | 0.238611 | 0.561198 | 0.422471 | ||
| l1 | 0.00001 | 0.819782 | -0.209239 | 1.65569 | 0.0243951 | 10.6631 | 0.242293 | 0.559087 | 0.424192 | |
| 0.00010 | 0.819782 | -0.209239 | 1.65569 | 0.0243951 | 10.6631 | 0.242293 | 0.559087 | 0.424192 | ||
| 0.00100 | 0.819782 | -0.209239 | 1.65569 | 0.0243951 | 10.6631 | 0.242293 | 0.559087 | 0.424192 | ||
| 0.01000 | 0.819782 | -0.209239 | 1.65569 | 0.0243951 | 10.6631 | 0.242293 | 0.559087 | 0.424192 | ||
| 0.10000 | 0.819782 | -0.209239 | 1.65569 | 0.0243951 | 10.6631 | 0.242293 | 0.559087 | 0.424192 | ||
| l2 | 0.00001 | 0.835575 | -0.209239 | 1.65569 | 0.0185687 | 10.6631 | 0.238611 | 0.561198 | 0.422471 | |
| 0.00010 | 0.835575 | -0.209239 | 1.65569 | 0.0185687 | 10.6631 | 0.238611 | 0.561198 | 0.422471 | ||
| 0.00100 | 0.835575 | -0.209239 | 1.65569 | 0.0185687 | 10.6631 | 0.238611 | 0.561198 | 0.422471 | ||
| 0.01000 | 0.835575 | -0.209239 | 1.65569 | 0.0185687 | 10.6631 | 0.238611 | 0.561198 | 0.422471 | ||
| 0.10000 | 0.835575 | -0.209239 | 1.65569 | 0.0185687 | 10.6631 | 0.238611 | 0.561198 | 0.422471 | ||
| manhattan | 0.00001 | 0.819782 | -0.209239 | 1.65569 | 0.0243951 | 10.6631 | 0.242293 | 0.559087 | 0.424192 | |
| 0.00010 | 0.819782 | -0.209239 | 1.65569 | 0.0243951 | 10.6631 | 0.242293 | 0.559087 | 0.424192 | ||
| 0.00100 | 0.819782 | -0.209239 | 1.65569 | 0.0243951 | 10.6631 | 0.242293 | 0.559087 | 0.424192 | ||
| 0.01000 | 0.819782 | -0.209239 | 1.65569 | 0.0243951 | 10.6631 | 0.242293 | 0.559087 | 0.424192 | ||
| 0.10000 | 0.819782 | -0.209239 | 1.65569 | 0.0243951 | 10.6631 | 0.242293 | 0.559087 | 0.424192 | ||
| cosine | 0.00001 | 0.727347 | -0.209239 | 1.65569 | -0.000168506 | 10.6631 | 0.0348715 | 0.462433 | 0.338973 | |
| 0.00010 | 0.727347 | -0.209239 | 1.65569 | -0.000168506 | 10.6631 | 0.0348715 | 0.462433 | 0.338973 | ||
| 0.00100 | 0.727347 | -0.209239 | 1.65569 | -0.000168506 | 10.6631 | 0.0348715 | 0.462433 | 0.338973 | ||
| 0.01000 | 0.727347 | -0.209239 | 1.65569 | -0.000168506 | 10.6631 | 0.0348715 | 0.462433 | 0.338973 | ||
| 0.10000 | 0.727347 | -0.209239 | 1.65569 | -0.000168506 | 10.6631 | 0.0348715 | 0.462433 | 0.338973 | ||
| chebyshev | 0.00001 | 0.837425 | -0.209239 | 1.65569 | 0.0238625 | 10.6631 | 0.244605 | 0.563881 | 0.425041 | |
| 0.00010 | 0.837425 | -0.209239 | 1.65569 | 0.0238625 | 10.6631 | 0.244605 | 0.563881 | 0.425041 | ||
| 0.00100 | 0.837425 | -0.209239 | 1.65569 | 0.0238625 | 10.6631 | 0.244605 | 0.563881 | 0.425041 | ||
| 0.01000 | 0.837425 | -0.209239 | 1.65569 | 0.0238625 | 10.6631 | 0.244605 | 0.563881 | 0.425041 | ||
| 0.10000 | 0.837425 | -0.209239 | 1.65569 | 0.0238625 | 10.6631 | 0.244605 | 0.563881 | 0.425041 | ||
| 3 | euclidean | 0.00001 | 0.72365 | -0.209239 | 1.65569 | 0.142826 | 10.6631 | 0.368579 | 0.587255 | 0.494122 |
| 0.00010 | 0.72365 | -0.209239 | 1.65569 | 0.142826 | 10.6631 | 0.368579 | 0.587255 | 0.494122 | ||
| 0.00100 | 0.72365 | -0.209239 | 1.65569 | 0.142826 | 10.6631 | 0.368579 | 0.587255 | 0.494122 | ||
| 0.01000 | 0.72365 | -0.209239 | 1.65569 | 0.142826 | 10.6631 | 0.368579 | 0.587255 | 0.494122 | ||
| 0.10000 | 0.72365 | -0.209239 | 1.65569 | 0.142826 | 10.6631 | 0.368579 | 0.587255 | 0.494122 | ||
| l1 | 0.00001 | 0.749542 | -0.209239 | 1.65569 | 0.159165 | 10.6631 | 0.390759 | 0.602697 | 0.503964 | |
| 0.00010 | 0.749542 | -0.209239 | 1.65569 | 0.159165 | 10.6631 | 0.390759 | 0.602697 | 0.503964 | ||
| 0.00100 | 0.749542 | -0.209239 | 1.65569 | 0.159165 | 10.6631 | 0.390759 | 0.602697 | 0.503964 | ||
| 0.01000 | 0.749542 | -0.209239 | 1.65569 | 0.159165 | 10.6631 | 0.390759 | 0.602697 | 0.503964 | ||
| 0.10000 | 0.749542 | -0.209239 | 1.65569 | 0.159165 | 10.6631 | 0.390759 | 0.602697 | 0.503964 | ||
| l2 | 0.00001 | 0.72365 | -0.209239 | 1.65569 | 0.142826 | 10.6631 | 0.368579 | 0.587255 | 0.494122 | |
| 0.00010 | 0.72365 | -0.209239 | 1.65569 | 0.142826 | 10.6631 | 0.368579 | 0.587255 | 0.494122 | ||
| 0.00100 | 0.72365 | -0.209239 | 1.65569 | 0.142826 | 10.6631 | 0.368579 | 0.587255 | 0.494122 | ||
| 0.01000 | 0.72365 | -0.209239 | 1.65569 | 0.142826 | 10.6631 | 0.368579 | 0.587255 | 0.494122 | ||
| 0.10000 | 0.72365 | -0.209239 | 1.65569 | 0.142826 | 10.6631 | 0.368579 | 0.587255 | 0.494122 | ||
| manhattan | 0.00001 | 0.749542 | -0.209239 | 1.65569 | 0.159165 | 10.6631 | 0.390759 | 0.602697 | 0.503964 | |
| 0.00010 | 0.749542 | -0.209239 | 1.65569 | 0.159165 | 10.6631 | 0.390759 | 0.602697 | 0.503964 | ||
| 0.00100 | 0.749542 | -0.209239 | 1.65569 | 0.159165 | 10.6631 | 0.390759 | 0.602697 | 0.503964 | ||
| 0.01000 | 0.749542 | -0.209239 | 1.65569 | 0.159165 | 10.6631 | 0.390759 | 0.602697 | 0.503964 | ||
| 0.10000 | 0.749542 | -0.209239 | 1.65569 | 0.159165 | 10.6631 | 0.390759 | 0.602697 | 0.503964 | ||
| cosine | 0.00001 | 0.601349 | -0.209239 | 1.65569 | -0.00259827 | 10.6631 | 0.0509625 | 0.4214 | 0.324343 | |
| 0.00010 | 0.601349 | -0.209239 | 1.65569 | -0.00259827 | 10.6631 | 0.0509625 | 0.4214 | 0.324343 | ||
| 0.00100 | 0.601349 | -0.209239 | 1.65569 | -0.00259827 | 10.6631 | 0.0509625 | 0.4214 | 0.324343 | ||
| 0.01000 | 0.601349 | -0.209239 | 1.65569 | -0.00259827 | 10.6631 | 0.0509625 | 0.4214 | 0.324343 | ||
| 0.10000 | 0.601349 | -0.209239 | 1.65569 | -0.00259827 | 10.6631 | 0.0509625 | 0.4214 | 0.324343 | ||
| chebyshev | 0.00001 | 0.752441 | -0.209239 | 1.65569 | 0.135375 | 10.6631 | 0.380402 | 0.597431 | 0.495379 | |
| 0.00010 | 0.752441 | -0.209239 | 1.65569 | 0.135375 | 10.6631 | 0.380402 | 0.597431 | 0.495379 | ||
| 0.00100 | 0.752441 | -0.209239 | 1.65569 | 0.135375 | 10.6631 | 0.380402 | 0.597431 | 0.495379 | ||
| 0.01000 | 0.752441 | -0.209239 | 1.65569 | 0.135375 | 10.6631 | 0.380402 | 0.597431 | 0.495379 | ||
| 0.10000 | 0.752441 | -0.209239 | 1.65569 | 0.135375 | 10.6631 | 0.380402 | 0.597431 | 0.495379 | ||
| 4 | euclidean | 0.00001 | 0.705554 | -0.209239 | 1.65569 | 0.347648 | 10.6631 | 0.51344 | 0.65694 | 0.614594 |
| 0.00010 | 0.705554 | -0.209239 | 1.65569 | 0.347648 | 10.6631 | 0.51344 | 0.65694 | 0.614594 | ||
| 0.00100 | 0.705554 | -0.209239 | 1.65569 | 0.347648 | 10.6631 | 0.51344 | 0.65694 | 0.614594 | ||
| 0.01000 | 0.705554 | -0.209239 | 1.65569 | 0.347648 | 10.6631 | 0.51344 | 0.65694 | 0.614594 | ||
| 0.10000 | 0.705554 | -0.209239 | 1.65569 | 0.347648 | 10.6631 | 0.51344 | 0.65694 | 0.614594 | ||
| l1 | 0.00001 | 0.741969 | -0.209239 | 1.65569 | 0.380037 | 10.6631 | 0.543465 | 0.678945 | 0.625789 | |
| 0.00010 | 0.741969 | -0.209239 | 1.65569 | 0.380037 | 10.6631 | 0.543465 | 0.678945 | 0.625789 | ||
| 0.00100 | 0.741969 | -0.209239 | 1.65569 | 0.380037 | 10.6631 | 0.543465 | 0.678945 | 0.625789 | ||
| 0.01000 | 0.741969 | -0.209239 | 1.65569 | 0.380037 | 10.6631 | 0.543465 | 0.678945 | 0.625789 | ||
| 0.10000 | 0.741969 | -0.209239 | 1.65569 | 0.380037 | 10.6631 | 0.543465 | 0.678945 | 0.625789 | ||
| l2 | 0.00001 | 0.705554 | -0.209239 | 1.65569 | 0.347648 | 10.6631 | 0.51344 | 0.65694 | 0.614594 | |
| 0.00010 | 0.705554 | -0.209239 | 1.65569 | 0.347648 | 10.6631 | 0.51344 | 0.65694 | 0.614594 | ||
| 0.00100 | 0.705554 | -0.209239 | 1.65569 | 0.347648 | 10.6631 | 0.51344 | 0.65694 | 0.614594 | ||
| 0.01000 | 0.705554 | -0.209239 | 1.65569 | 0.347648 | 10.6631 | 0.51344 | 0.65694 | 0.614594 | ||
| 0.10000 | 0.705554 | -0.209239 | 1.65569 | 0.347648 | 10.6631 | 0.51344 | 0.65694 | 0.614594 | ||
| manhattan | 0.00001 | 0.741969 | -0.209239 | 1.65569 | 0.380037 | 10.6631 | 0.543465 | 0.678945 | 0.625789 | |
| 0.00010 | 0.741969 | -0.209239 | 1.65569 | 0.380037 | 10.6631 | 0.543465 | 0.678945 | 0.625789 | ||
| 0.00100 | 0.741969 | -0.209239 | 1.65569 | 0.380037 | 10.6631 | 0.543465 | 0.678945 | 0.625789 | ||
| 0.01000 | 0.741969 | -0.209239 | 1.65569 | 0.380037 | 10.6631 | 0.543465 | 0.678945 | 0.625789 | ||
| 0.10000 | 0.741969 | -0.209239 | 1.65569 | 0.380037 | 10.6631 | 0.543465 | 0.678945 | 0.625789 | ||
| cosine | 0.00001 | 0.558866 | -0.209239 | 1.65569 | 0.00732226 | 10.6631 | 0.085944 | 0.415329 | 0.330456 | |
| 0.00010 | 0.558866 | -0.209239 | 1.65569 | 0.00732226 | 10.6631 | 0.085944 | 0.415329 | 0.330456 | ||
| 0.00100 | 0.558866 | -0.209239 | 1.65569 | 0.00732226 | 10.6631 | 0.085944 | 0.415329 | 0.330456 | ||
| 0.01000 | 0.558866 | -0.209239 | 1.65569 | 0.00732226 | 10.6631 | 0.085944 | 0.415329 | 0.330456 | ||
| 0.10000 | 0.558866 | -0.209239 | 1.65569 | 0.00732226 | 10.6631 | 0.085944 | 0.415329 | 0.330456 | ||
| chebyshev | 0.00001 | 0.747669 | -0.209239 | 1.65569 | 0.365002 | 10.6631 | 0.53649 | 0.676667 | 0.61798 | |
| 0.00010 | 0.747669 | -0.209239 | 1.65569 | 0.365002 | 10.6631 | 0.53649 | 0.676667 | 0.61798 | ||
| 0.00100 | 0.747669 | -0.209239 | 1.65569 | 0.365002 | 10.6631 | 0.53649 | 0.676667 | 0.61798 | ||
| 0.01000 | 0.747669 | -0.209239 | 1.65569 | 0.365002 | 10.6631 | 0.53649 | 0.676667 | 0.61798 | ||
| 0.10000 | 0.747669 | -0.209239 | 1.65569 | 0.365002 | 10.6631 | 0.53649 | 0.676667 | 0.61798 | ||
| 5 | euclidean | 0.00001 | 0.955963 | -0.209239 | 1.65569 | 0.920004 | 10.6631 | 0.946037 | 0.960209 | 0.964493 |
| 0.00010 | 0.955963 | -0.209239 | 1.65569 | 0.920004 | 10.6631 | 0.946037 | 0.960209 | 0.964493 | ||
| 0.00100 | 0.955963 | -0.209239 | 1.65569 | 0.920004 | 10.6631 | 0.946037 | 0.960209 | 0.964493 | ||
| 0.01000 | 0.955963 | -0.209239 | 1.65569 | 0.920004 | 10.6631 | 0.946037 | 0.960209 | 0.964493 | ||
| 0.10000 | 0.955963 | -0.209239 | 1.65569 | 0.920004 | 10.6631 | 0.946037 | 0.960209 | 0.964493 | ||
| l1 | 0.00001 | 0.751716 | -0.209239 | 1.65569 | 0.536624 | 10.6631 | 0.653711 | 0.745028 | 0.738458 | |
| 0.00010 | 0.751716 | -0.209239 | 1.65569 | 0.536624 | 10.6631 | 0.653711 | 0.745028 | 0.738458 | ||
| 0.00100 | 0.751716 | -0.209239 | 1.65569 | 0.536624 | 10.6631 | 0.653711 | 0.745028 | 0.738458 | ||
| 0.01000 | 0.751716 | -0.209239 | 1.65569 | 0.536624 | 10.6631 | 0.653711 | 0.745028 | 0.738458 | ||
| 0.10000 | 0.751716 | -0.209239 | 1.65569 | 0.536624 | 10.6631 | 0.653711 | 0.745028 | 0.738458 | ||
| l2 | 0.00001 | 0.955963 | -0.209239 | 1.65569 | 0.920004 | 10.6631 | 0.946037 | 0.960209 | 0.964493 | |
| 0.00010 | 0.955963 | -0.209239 | 1.65569 | 0.920004 | 10.6631 | 0.946037 | 0.960209 | 0.964493 | ||
| 0.00100 | 0.955963 | -0.209239 | 1.65569 | 0.920004 | 10.6631 | 0.946037 | 0.960209 | 0.964493 | ||
| 0.01000 | 0.955963 | -0.209239 | 1.65569 | 0.920004 | 10.6631 | 0.946037 | 0.960209 | 0.964493 | ||
| 0.10000 | 0.955963 | -0.209239 | 1.65569 | 0.920004 | 10.6631 | 0.946037 | 0.960209 | 0.964493 | ||
| manhattan | 0.00001 | 0.751716 | -0.209239 | 1.65569 | 0.536624 | 10.6631 | 0.653711 | 0.745028 | 0.738458 | |
| 0.00010 | 0.751716 | -0.209239 | 1.65569 | 0.536624 | 10.6631 | 0.653711 | 0.745028 | 0.738458 | ||
| 0.00100 | 0.751716 | -0.209239 | 1.65569 | 0.536624 | 10.6631 | 0.653711 | 0.745028 | 0.738458 | ||
| 0.01000 | 0.751716 | -0.209239 | 1.65569 | 0.536624 | 10.6631 | 0.653711 | 0.745028 | 0.738458 | ||
| 0.10000 | 0.751716 | -0.209239 | 1.65569 | 0.536624 | 10.6631 | 0.653711 | 0.745028 | 0.738458 | ||
| cosine | 0.00001 | 0.510696 | -0.209239 | 1.65569 | -0.000356378 | 10.6631 | 0.085849 | 0.395365 | 0.322528 | |
| 0.00010 | 0.510696 | -0.209239 | 1.65569 | -0.000356378 | 10.6631 | 0.085849 | 0.395365 | 0.322528 | ||
| 0.00100 | 0.510696 | -0.209239 | 1.65569 | -0.000356378 | 10.6631 | 0.085849 | 0.395365 | 0.322528 | ||
| 0.01000 | 0.510696 | -0.209239 | 1.65569 | -0.000356378 | 10.6631 | 0.085849 | 0.395365 | 0.322528 | ||
| 0.10000 | 0.510696 | -0.209239 | 1.65569 | -0.000356378 | 10.6631 | 0.085849 | 0.395365 | 0.322528 | ||
| chebyshev | 0.00001 | 0.726195 | -0.209239 | 1.65569 | 0.524617 | 10.6631 | 0.633681 | 0.729705 | 0.733249 | |
| 0.00010 | 0.726195 | -0.209239 | 1.65569 | 0.524617 | 10.6631 | 0.633681 | 0.729705 | 0.733249 | ||
| 0.00100 | 0.726195 | -0.209239 | 1.65569 | 0.524617 | 10.6631 | 0.633681 | 0.729705 | 0.733249 | ||
| 0.01000 | 0.726195 | -0.209239 | 1.65569 | 0.524617 | 10.6631 | 0.633681 | 0.729705 | 0.733249 | ||
| 0.10000 | 0.726195 | -0.209239 | 1.65569 | 0.524617 | 10.6631 | 0.633681 | 0.729705 | 0.733249 | ||
| 6 | euclidean | 0.00001 | 0.674172 | -0.209239 | 1.65569 | 0.495043 | 10.6631 | 0.623517 | 0.713712 | 0.75818 |
| 0.00010 | 0.674172 | -0.209239 | 1.65569 | 0.495043 | 10.6631 | 0.623517 | 0.713712 | 0.75818 | ||
| 0.00100 | 0.674172 | -0.209239 | 1.65569 | 0.495043 | 10.6631 | 0.623517 | 0.713712 | 0.75818 | ||
| 0.01000 | 0.674172 | -0.209239 | 1.65569 | 0.495043 | 10.6631 | 0.623517 | 0.713712 | 0.75818 | ||
| 0.10000 | 0.674172 | -0.209239 | 1.65569 | 0.495043 | 10.6631 | 0.623517 | 0.713712 | 0.75818 | ||
| l1 | 0.00001 | 0.625709 | -0.209239 | 1.65569 | 0.443202 | 10.6631 | 0.56895 | 0.670647 | 0.72254 | |
| 0.00010 | 0.625709 | -0.209239 | 1.65569 | 0.443202 | 10.6631 | 0.56895 | 0.670647 | 0.72254 | ||
| 0.00100 | 0.625709 | -0.209239 | 1.65569 | 0.443202 | 10.6631 | 0.56895 | 0.670647 | 0.72254 | ||
| 0.01000 | 0.625709 | -0.209239 | 1.65569 | 0.443202 | 10.6631 | 0.56895 | 0.670647 | 0.72254 | ||
| 0.10000 | 0.625709 | -0.209239 | 1.65569 | 0.443202 | 10.6631 | 0.56895 | 0.670647 | 0.72254 | ||
| l2 | 0.00001 | 0.674172 | -0.209239 | 1.65569 | 0.495043 | 10.6631 | 0.623517 | 0.713712 | 0.75818 | |
| 0.00010 | 0.674172 | -0.209239 | 1.65569 | 0.495043 | 10.6631 | 0.623517 | 0.713712 | 0.75818 | ||
| 0.00100 | 0.674172 | -0.209239 | 1.65569 | 0.495043 | 10.6631 | 0.623517 | 0.713712 | 0.75818 | ||
| 0.01000 | 0.674172 | -0.209239 | 1.65569 | 0.495043 | 10.6631 | 0.623517 | 0.713712 | 0.75818 | ||
| 0.10000 | 0.674172 | -0.209239 | 1.65569 | 0.495043 | 10.6631 | 0.623517 | 0.713712 | 0.75818 | ||
| manhattan | 0.00001 | 0.625709 | -0.209239 | 1.65569 | 0.443202 | 10.6631 | 0.56895 | 0.670647 | 0.72254 | |
| 0.00010 | 0.625709 | -0.209239 | 1.65569 | 0.443202 | 10.6631 | 0.56895 | 0.670647 | 0.72254 | ||
| 0.00100 | 0.625709 | -0.209239 | 1.65569 | 0.443202 | 10.6631 | 0.56895 | 0.670647 | 0.72254 | ||
| 0.01000 | 0.625709 | -0.209239 | 1.65569 | 0.443202 | 10.6631 | 0.56895 | 0.670647 | 0.72254 | ||
| 0.10000 | 0.625709 | -0.209239 | 1.65569 | 0.443202 | 10.6631 | 0.56895 | 0.670647 | 0.72254 | ||
| cosine | 0.00001 | 0.493831 | -0.209239 | 1.65569 | -0.00586756 | 10.6631 | 0.0968948 | 0.391011 | 0.323629 | |
| 0.00010 | 0.493831 | -0.209239 | 1.65569 | -0.00586756 | 10.6631 | 0.0968948 | 0.391011 | 0.323629 | ||
| 0.00100 | 0.493831 | -0.209239 | 1.65569 | -0.00586756 | 10.6631 | 0.0968948 | 0.391011 | 0.323629 | ||
| 0.01000 | 0.493831 | -0.209239 | 1.65569 | -0.00586756 | 10.6631 | 0.0968948 | 0.391011 | 0.323629 | ||
| 0.10000 | 0.493831 | -0.209239 | 1.65569 | -0.00586756 | 10.6631 | 0.0968948 | 0.391011 | 0.323629 | ||
| chebyshev | 0.00001 | 0.533702 | -0.209239 | 1.65569 | 0.382504 | 10.6631 | 0.506137 | 0.613158 | 0.720409 | |
| 0.00010 | 0.533702 | -0.209239 | 1.65569 | 0.382504 | 10.6631 | 0.506137 | 0.613158 | 0.720409 | ||
| 0.00100 | 0.533702 | -0.209239 | 1.65569 | 0.382504 | 10.6631 | 0.506137 | 0.613158 | 0.720409 | ||
| 0.01000 | 0.533702 | -0.209239 | 1.65569 | 0.382504 | 10.6631 | 0.506137 | 0.613158 | 0.720409 | ||
| 0.10000 | 0.533702 | -0.209239 | 1.65569 | 0.382504 | 10.6631 | 0.506137 | 0.613158 | 0.720409 | ||
| 7 | euclidean | 0.00001 | 0.506561 | -0.209239 | 1.65569 | 0.357739 | 10.6631 | 0.48536 | 0.592165 | 0.712586 |
| 0.00010 | 0.506561 | -0.209239 | 1.65569 | 0.357739 | 10.6631 | 0.48536 | 0.592165 | 0.712586 | ||
| 0.00100 | 0.506561 | -0.209239 | 1.65569 | 0.357739 | 10.6631 | 0.48536 | 0.592165 | 0.712586 | ||
| 0.01000 | 0.506561 | -0.209239 | 1.65569 | 0.357739 | 10.6631 | 0.48536 | 0.592165 | 0.712586 | ||
| 0.10000 | 0.506561 | -0.209239 | 1.65569 | 0.357739 | 10.6631 | 0.48536 | 0.592165 | 0.712586 | ||
| l1 | 0.00001 | 0.507867 | -0.209239 | 1.65569 | 0.346081 | 10.6631 | 0.482585 | 0.590425 | 0.705035 | |
| 0.00010 | 0.507867 | -0.209239 | 1.65569 | 0.346081 | 10.6631 | 0.482585 | 0.590425 | 0.705035 | ||
| 0.00100 | 0.507867 | -0.209239 | 1.65569 | 0.346081 | 10.6631 | 0.482585 | 0.590425 | 0.705035 | ||
| 0.01000 | 0.507867 | -0.209239 | 1.65569 | 0.346081 | 10.6631 | 0.482585 | 0.590425 | 0.705035 | ||
| 0.10000 | 0.507867 | -0.209239 | 1.65569 | 0.346081 | 10.6631 | 0.482585 | 0.590425 | 0.705035 | ||
| l2 | 0.00001 | 0.506561 | -0.209239 | 1.65569 | 0.357739 | 10.6631 | 0.48536 | 0.592165 | 0.712586 | |
| 0.00010 | 0.506561 | -0.209239 | 1.65569 | 0.357739 | 10.6631 | 0.48536 | 0.592165 | 0.712586 | ||
| 0.00100 | 0.506561 | -0.209239 | 1.65569 | 0.357739 | 10.6631 | 0.48536 | 0.592165 | 0.712586 | ||
| 0.01000 | 0.506561 | -0.209239 | 1.65569 | 0.357739 | 10.6631 | 0.48536 | 0.592165 | 0.712586 | ||
| 0.10000 | 0.506561 | -0.209239 | 1.65569 | 0.357739 | 10.6631 | 0.48536 | 0.592165 | 0.712586 | ||
| manhattan | 0.00001 | 0.507867 | -0.209239 | 1.65569 | 0.346081 | 10.6631 | 0.482585 | 0.590425 | 0.705035 | |
| 0.00010 | 0.507867 | -0.209239 | 1.65569 | 0.346081 | 10.6631 | 0.482585 | 0.590425 | 0.705035 | ||
| 0.00100 | 0.507867 | -0.209239 | 1.65569 | 0.346081 | 10.6631 | 0.482585 | 0.590425 | 0.705035 | ||
| 0.01000 | 0.507867 | -0.209239 | 1.65569 | 0.346081 | 10.6631 | 0.482585 | 0.590425 | 0.705035 | ||
| 0.10000 | 0.507867 | -0.209239 | 1.65569 | 0.346081 | 10.6631 | 0.482585 | 0.590425 | 0.705035 | ||
| cosine | 0.00001 | 0.465245 | -0.209239 | 1.65569 | 0.0111799 | 10.6631 | 0.116254 | 0.386242 | 0.330175 | |
| 0.00010 | 0.465245 | -0.209239 | 1.65569 | 0.0111799 | 10.6631 | 0.116254 | 0.386242 | 0.330175 | ||
| 0.00100 | 0.465245 | -0.209239 | 1.65569 | 0.0111799 | 10.6631 | 0.116254 | 0.386242 | 0.330175 | ||
| 0.01000 | 0.465245 | -0.209239 | 1.65569 | 0.0111799 | 10.6631 | 0.116254 | 0.386242 | 0.330175 | ||
| 0.10000 | 0.465245 | -0.209239 | 1.65569 | 0.0111799 | 10.6631 | 0.116254 | 0.386242 | 0.330175 | ||
| chebyshev | 0.00001 | 0.455632 | -0.209239 | 1.65569 | 0.305363 | 10.6631 | 0.441399 | 0.550591 | 0.695552 | |
| 0.00010 | 0.455632 | -0.209239 | 1.65569 | 0.305363 | 10.6631 | 0.441399 | 0.550591 | 0.695552 | ||
| 0.00100 | 0.455632 | -0.209239 | 1.65569 | 0.305363 | 10.6631 | 0.441399 | 0.550591 | 0.695552 | ||
| 0.01000 | 0.455632 | -0.209239 | 1.65569 | 0.305363 | 10.6631 | 0.441399 | 0.550591 | 0.695552 | ||
| 0.10000 | 0.455632 | -0.209239 | 1.65569 | 0.305363 | 10.6631 | 0.441399 | 0.550591 | 0.695552 | ||
| 8 | euclidean | 0.00001 | 0.38819 | -0.209239 | 1.65569 | 0.254015 | 10.6631 | 0.384024 | 0.492738 | 0.674358 |
| 0.00010 | 0.38819 | -0.209239 | 1.65569 | 0.254015 | 10.6631 | 0.384024 | 0.492738 | 0.674358 | ||
| 0.00100 | 0.38819 | -0.209239 | 1.65569 | 0.254015 | 10.6631 | 0.384024 | 0.492738 | 0.674358 | ||
| 0.01000 | 0.38819 | -0.209239 | 1.65569 | 0.254015 | 10.6631 | 0.384024 | 0.492738 | 0.674358 | ||
| 0.10000 | 0.38819 | -0.209239 | 1.65569 | 0.254015 | 10.6631 | 0.384024 | 0.492738 | 0.674358 | ||
| l1 | 0.00001 | 0.411434 | -0.209239 | 1.65569 | 0.243194 | 10.6631 | 0.377584 | 0.496161 | 0.624835 | |
| 0.00010 | 0.411434 | -0.209239 | 1.65569 | 0.243194 | 10.6631 | 0.377584 | 0.496161 | 0.624835 | ||
| 0.00100 | 0.411434 | -0.209239 | 1.65569 | 0.243194 | 10.6631 | 0.377584 | 0.496161 | 0.624835 | ||
| 0.01000 | 0.411434 | -0.209239 | 1.65569 | 0.243194 | 10.6631 | 0.377584 | 0.496161 | 0.624835 | ||
| 0.10000 | 0.411434 | -0.209239 | 1.65569 | 0.243194 | 10.6631 | 0.377584 | 0.496161 | 0.624835 | ||
| l2 | 0.00001 | 0.38819 | -0.209239 | 1.65569 | 0.254015 | 10.6631 | 0.384024 | 0.492738 | 0.674358 | |
| 0.00010 | 0.38819 | -0.209239 | 1.65569 | 0.254015 | 10.6631 | 0.384024 | 0.492738 | 0.674358 | ||
| 0.00100 | 0.38819 | -0.209239 | 1.65569 | 0.254015 | 10.6631 | 0.384024 | 0.492738 | 0.674358 | ||
| 0.01000 | 0.38819 | -0.209239 | 1.65569 | 0.254015 | 10.6631 | 0.384024 | 0.492738 | 0.674358 | ||
| 0.10000 | 0.38819 | -0.209239 | 1.65569 | 0.254015 | 10.6631 | 0.384024 | 0.492738 | 0.674358 | ||
| manhattan | 0.00001 | 0.411434 | -0.209239 | 1.65569 | 0.243194 | 10.6631 | 0.377584 | 0.496161 | 0.624835 | |
| 0.00010 | 0.411434 | -0.209239 | 1.65569 | 0.243194 | 10.6631 | 0.377584 | 0.496161 | 0.624835 | ||
| 0.00100 | 0.411434 | -0.209239 | 1.65569 | 0.243194 | 10.6631 | 0.377584 | 0.496161 | 0.624835 | ||
| 0.01000 | 0.411434 | -0.209239 | 1.65569 | 0.243194 | 10.6631 | 0.377584 | 0.496161 | 0.624835 | ||
| 0.10000 | 0.411434 | -0.209239 | 1.65569 | 0.243194 | 10.6631 | 0.377584 | 0.496161 | 0.624835 | ||
| cosine | 0.00001 | 0.458147 | -0.209239 | 1.65569 | 0.0142849 | 10.6631 | 0.127272 | 0.385887 | 0.333316 | |
| 0.00010 | 0.458147 | -0.209239 | 1.65569 | 0.0142849 | 10.6631 | 0.127272 | 0.385887 | 0.333316 | ||
| 0.00100 | 0.458147 | -0.209239 | 1.65569 | 0.0142849 | 10.6631 | 0.127272 | 0.385887 | 0.333316 | ||
| 0.01000 | 0.458147 | -0.209239 | 1.65569 | 0.0142849 | 10.6631 | 0.127272 | 0.385887 | 0.333316 | ||
| 0.10000 | 0.458147 | -0.209239 | 1.65569 | 0.0142849 | 10.6631 | 0.127272 | 0.385887 | 0.333316 | ||
| chebyshev | 0.00001 | 0.34185 | -0.209239 | 1.65569 | 0.20339 | 10.6631 | 0.335043 | 0.447163 | 0.646253 | |
| 0.00010 | 0.34185 | -0.209239 | 1.65569 | 0.20339 | 10.6631 | 0.335043 | 0.447163 | 0.646253 | ||
| 0.00100 | 0.34185 | -0.209239 | 1.65569 | 0.20339 | 10.6631 | 0.335043 | 0.447163 | 0.646253 | ||
| 0.01000 | 0.34185 | -0.209239 | 1.65569 | 0.20339 | 10.6631 | 0.335043 | 0.447163 | 0.646253 | ||
| 0.10000 | 0.34185 | -0.209239 | 1.65569 | 0.20339 | 10.6631 | 0.335043 | 0.447163 | 0.646253 | ||
| 9 | euclidean | 0.00001 | 0.309363 | -0.209239 | 1.65569 | 0.178866 | 10.6631 | 0.303874 | 0.41346 | 0.623141 |
| 0.00010 | 0.309363 | -0.209239 | 1.65569 | 0.178866 | 10.6631 | 0.303874 | 0.41346 | 0.623141 | ||
| 0.00100 | 0.309363 | -0.209239 | 1.65569 | 0.178866 | 10.6631 | 0.303874 | 0.41346 | 0.623141 | ||
| 0.01000 | 0.309363 | -0.209239 | 1.65569 | 0.178866 | 10.6631 | 0.303874 | 0.41346 | 0.623141 | ||
| 0.10000 | 0.309363 | -0.209239 | 1.65569 | 0.178866 | 10.6631 | 0.303874 | 0.41346 | 0.623141 | ||
| l1 | 0.00001 | 0.267865 | -0.209239 | 1.65569 | 0.146212 | 10.6631 | 0.272873 | 0.375524 | 0.627879 | |
| 0.00010 | 0.267865 | -0.209239 | 1.65569 | 0.146212 | 10.6631 | 0.272873 | 0.375524 | 0.627879 | ||
| 0.00100 | 0.267865 | -0.209239 | 1.65569 | 0.146212 | 10.6631 | 0.272873 | 0.375524 | 0.627879 | ||
| 0.01000 | 0.267865 | -0.209239 | 1.65569 | 0.146212 | 10.6631 | 0.272873 | 0.375524 | 0.627879 | ||
| 0.10000 | 0.267865 | -0.209239 | 1.65569 | 0.146212 | 10.6631 | 0.272873 | 0.375524 | 0.627879 | ||
| l2 | 0.00001 | 0.309363 | -0.209239 | 1.65569 | 0.178866 | 10.6631 | 0.303874 | 0.41346 | 0.623141 | |
| 0.00010 | 0.309363 | -0.209239 | 1.65569 | 0.178866 | 10.6631 | 0.303874 | 0.41346 | 0.623141 | ||
| 0.00100 | 0.309363 | -0.209239 | 1.65569 | 0.178866 | 10.6631 | 0.303874 | 0.41346 | 0.623141 | ||
| 0.01000 | 0.309363 | -0.209239 | 1.65569 | 0.178866 | 10.6631 | 0.303874 | 0.41346 | 0.623141 | ||
| 0.10000 | 0.309363 | -0.209239 | 1.65569 | 0.178866 | 10.6631 | 0.303874 | 0.41346 | 0.623141 | ||
| manhattan | 0.00001 | 0.267865 | -0.209239 | 1.65569 | 0.146212 | 10.6631 | 0.272873 | 0.375524 | 0.627879 | |
| 0.00010 | 0.267865 | -0.209239 | 1.65569 | 0.146212 | 10.6631 | 0.272873 | 0.375524 | 0.627879 | ||
| 0.00100 | 0.267865 | -0.209239 | 1.65569 | 0.146212 | 10.6631 | 0.272873 | 0.375524 | 0.627879 | ||
| 0.01000 | 0.267865 | -0.209239 | 1.65569 | 0.146212 | 10.6631 | 0.272873 | 0.375524 | 0.627879 | ||
| 0.10000 | 0.267865 | -0.209239 | 1.65569 | 0.146212 | 10.6631 | 0.272873 | 0.375524 | 0.627879 | ||
| cosine | 0.00001 | 0.45083 | -0.209239 | 1.65569 | 0.0155859 | 10.6631 | 0.13514 | 0.384858 | 0.33573 | |
| 0.00010 | 0.45083 | -0.209239 | 1.65569 | 0.0155859 | 10.6631 | 0.13514 | 0.384858 | 0.33573 | ||
| 0.00100 | 0.45083 | -0.209239 | 1.65569 | 0.0155859 | 10.6631 | 0.13514 | 0.384858 | 0.33573 | ||
| 0.01000 | 0.45083 | -0.209239 | 1.65569 | 0.0155859 | 10.6631 | 0.13514 | 0.384858 | 0.33573 | ||
| 0.10000 | 0.45083 | -0.209239 | 1.65569 | 0.0155859 | 10.6631 | 0.13514 | 0.384858 | 0.33573 | ||
| chebyshev | 0.00001 | 0.305185 | -0.209239 | 1.65569 | 0.186614 | 10.6631 | 0.310815 | 0.4156 | 0.651207 | |
| 0.00010 | 0.305185 | -0.209239 | 1.65569 | 0.186614 | 10.6631 | 0.310815 | 0.4156 | 0.651207 | ||
| 0.00100 | 0.305185 | -0.209239 | 1.65569 | 0.186614 | 10.6631 | 0.310815 | 0.4156 | 0.651207 | ||
| 0.01000 | 0.305185 | -0.209239 | 1.65569 | 0.186614 | 10.6631 | 0.310815 | 0.4156 | 0.651207 | ||
| 0.10000 | 0.305185 | -0.209239 | 1.65569 | 0.186614 | 10.6631 | 0.310815 | 0.4156 | 0.651207 |
metrics_dataframe_optics[metrics_min].style.apply(highlight_min)
| davies_bouldin_score | |||
|---|---|---|---|
| min_samples | metrics | epsilon | |
| 2 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 3 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 4 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 5 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 6 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 7 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 8 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| 9 | euclidean | 1e-05 | 1.655692 |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l1 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| l2 | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| manhattan | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| cosine | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 | ||
| chebyshev | 1e-05 | 1.655692 | |
| 0.0001 | 1.655692 | ||
| 0.001 | 1.655692 | ||
| 0.01 | 1.655692 | ||
| 0.1 | 1.655692 |
metrics_dataframe_optics[metrics_max].style.apply(highlight_max)
| homogeneity_score | v_measure_score | completeness_score | adjusted_mutual_info | adjusted_rand_index | calinski_harabasz_score | silhouette_score | |||
|---|---|---|---|---|---|---|---|---|---|
| min_samples | metrics | epsilon | |||||||
| 2 | euclidean | 1e-05 | 0.835575 | 0.561198 | 0.422471 | 0.238611 | 0.018569 | 10.663137 | -0.209239 |
| 0.0001 | 0.835575 | 0.561198 | 0.422471 | 0.238611 | 0.018569 | 10.663137 | -0.209239 | ||
| 0.001 | 0.835575 | 0.561198 | 0.422471 | 0.238611 | 0.018569 | 10.663137 | -0.209239 | ||
| 0.01 | 0.835575 | 0.561198 | 0.422471 | 0.238611 | 0.018569 | 10.663137 | -0.209239 | ||
| 0.1 | 0.835575 | 0.561198 | 0.422471 | 0.238611 | 0.018569 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | 0.819782 | 0.559087 | 0.424192 | 0.242293 | 0.024395 | 10.663137 | -0.209239 | |
| 0.0001 | 0.819782 | 0.559087 | 0.424192 | 0.242293 | 0.024395 | 10.663137 | -0.209239 | ||
| 0.001 | 0.819782 | 0.559087 | 0.424192 | 0.242293 | 0.024395 | 10.663137 | -0.209239 | ||
| 0.01 | 0.819782 | 0.559087 | 0.424192 | 0.242293 | 0.024395 | 10.663137 | -0.209239 | ||
| 0.1 | 0.819782 | 0.559087 | 0.424192 | 0.242293 | 0.024395 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | 0.835575 | 0.561198 | 0.422471 | 0.238611 | 0.018569 | 10.663137 | -0.209239 | |
| 0.0001 | 0.835575 | 0.561198 | 0.422471 | 0.238611 | 0.018569 | 10.663137 | -0.209239 | ||
| 0.001 | 0.835575 | 0.561198 | 0.422471 | 0.238611 | 0.018569 | 10.663137 | -0.209239 | ||
| 0.01 | 0.835575 | 0.561198 | 0.422471 | 0.238611 | 0.018569 | 10.663137 | -0.209239 | ||
| 0.1 | 0.835575 | 0.561198 | 0.422471 | 0.238611 | 0.018569 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | 0.819782 | 0.559087 | 0.424192 | 0.242293 | 0.024395 | 10.663137 | -0.209239 | |
| 0.0001 | 0.819782 | 0.559087 | 0.424192 | 0.242293 | 0.024395 | 10.663137 | -0.209239 | ||
| 0.001 | 0.819782 | 0.559087 | 0.424192 | 0.242293 | 0.024395 | 10.663137 | -0.209239 | ||
| 0.01 | 0.819782 | 0.559087 | 0.424192 | 0.242293 | 0.024395 | 10.663137 | -0.209239 | ||
| 0.1 | 0.819782 | 0.559087 | 0.424192 | 0.242293 | 0.024395 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.727347 | 0.462433 | 0.338973 | 0.034872 | -0.000169 | 10.663137 | -0.209239 | |
| 0.0001 | 0.727347 | 0.462433 | 0.338973 | 0.034872 | -0.000169 | 10.663137 | -0.209239 | ||
| 0.001 | 0.727347 | 0.462433 | 0.338973 | 0.034872 | -0.000169 | 10.663137 | -0.209239 | ||
| 0.01 | 0.727347 | 0.462433 | 0.338973 | 0.034872 | -0.000169 | 10.663137 | -0.209239 | ||
| 0.1 | 0.727347 | 0.462433 | 0.338973 | 0.034872 | -0.000169 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | 0.837425 | 0.563881 | 0.425041 | 0.244605 | 0.023863 | 10.663137 | -0.209239 | |
| 0.0001 | 0.837425 | 0.563881 | 0.425041 | 0.244605 | 0.023863 | 10.663137 | -0.209239 | ||
| 0.001 | 0.837425 | 0.563881 | 0.425041 | 0.244605 | 0.023863 | 10.663137 | -0.209239 | ||
| 0.01 | 0.837425 | 0.563881 | 0.425041 | 0.244605 | 0.023863 | 10.663137 | -0.209239 | ||
| 0.1 | 0.837425 | 0.563881 | 0.425041 | 0.244605 | 0.023863 | 10.663137 | -0.209239 | ||
| 3 | euclidean | 1e-05 | 0.723650 | 0.587255 | 0.494122 | 0.368579 | 0.142826 | 10.663137 | -0.209239 |
| 0.0001 | 0.723650 | 0.587255 | 0.494122 | 0.368579 | 0.142826 | 10.663137 | -0.209239 | ||
| 0.001 | 0.723650 | 0.587255 | 0.494122 | 0.368579 | 0.142826 | 10.663137 | -0.209239 | ||
| 0.01 | 0.723650 | 0.587255 | 0.494122 | 0.368579 | 0.142826 | 10.663137 | -0.209239 | ||
| 0.1 | 0.723650 | 0.587255 | 0.494122 | 0.368579 | 0.142826 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | 0.749542 | 0.602697 | 0.503964 | 0.390759 | 0.159165 | 10.663137 | -0.209239 | |
| 0.0001 | 0.749542 | 0.602697 | 0.503964 | 0.390759 | 0.159165 | 10.663137 | -0.209239 | ||
| 0.001 | 0.749542 | 0.602697 | 0.503964 | 0.390759 | 0.159165 | 10.663137 | -0.209239 | ||
| 0.01 | 0.749542 | 0.602697 | 0.503964 | 0.390759 | 0.159165 | 10.663137 | -0.209239 | ||
| 0.1 | 0.749542 | 0.602697 | 0.503964 | 0.390759 | 0.159165 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | 0.723650 | 0.587255 | 0.494122 | 0.368579 | 0.142826 | 10.663137 | -0.209239 | |
| 0.0001 | 0.723650 | 0.587255 | 0.494122 | 0.368579 | 0.142826 | 10.663137 | -0.209239 | ||
| 0.001 | 0.723650 | 0.587255 | 0.494122 | 0.368579 | 0.142826 | 10.663137 | -0.209239 | ||
| 0.01 | 0.723650 | 0.587255 | 0.494122 | 0.368579 | 0.142826 | 10.663137 | -0.209239 | ||
| 0.1 | 0.723650 | 0.587255 | 0.494122 | 0.368579 | 0.142826 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | 0.749542 | 0.602697 | 0.503964 | 0.390759 | 0.159165 | 10.663137 | -0.209239 | |
| 0.0001 | 0.749542 | 0.602697 | 0.503964 | 0.390759 | 0.159165 | 10.663137 | -0.209239 | ||
| 0.001 | 0.749542 | 0.602697 | 0.503964 | 0.390759 | 0.159165 | 10.663137 | -0.209239 | ||
| 0.01 | 0.749542 | 0.602697 | 0.503964 | 0.390759 | 0.159165 | 10.663137 | -0.209239 | ||
| 0.1 | 0.749542 | 0.602697 | 0.503964 | 0.390759 | 0.159165 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.601349 | 0.421400 | 0.324343 | 0.050963 | -0.002598 | 10.663137 | -0.209239 | |
| 0.0001 | 0.601349 | 0.421400 | 0.324343 | 0.050963 | -0.002598 | 10.663137 | -0.209239 | ||
| 0.001 | 0.601349 | 0.421400 | 0.324343 | 0.050963 | -0.002598 | 10.663137 | -0.209239 | ||
| 0.01 | 0.601349 | 0.421400 | 0.324343 | 0.050963 | -0.002598 | 10.663137 | -0.209239 | ||
| 0.1 | 0.601349 | 0.421400 | 0.324343 | 0.050963 | -0.002598 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | 0.752441 | 0.597431 | 0.495379 | 0.380402 | 0.135375 | 10.663137 | -0.209239 | |
| 0.0001 | 0.752441 | 0.597431 | 0.495379 | 0.380402 | 0.135375 | 10.663137 | -0.209239 | ||
| 0.001 | 0.752441 | 0.597431 | 0.495379 | 0.380402 | 0.135375 | 10.663137 | -0.209239 | ||
| 0.01 | 0.752441 | 0.597431 | 0.495379 | 0.380402 | 0.135375 | 10.663137 | -0.209239 | ||
| 0.1 | 0.752441 | 0.597431 | 0.495379 | 0.380402 | 0.135375 | 10.663137 | -0.209239 | ||
| 4 | euclidean | 1e-05 | 0.705554 | 0.656940 | 0.614594 | 0.513440 | 0.347648 | 10.663137 | -0.209239 |
| 0.0001 | 0.705554 | 0.656940 | 0.614594 | 0.513440 | 0.347648 | 10.663137 | -0.209239 | ||
| 0.001 | 0.705554 | 0.656940 | 0.614594 | 0.513440 | 0.347648 | 10.663137 | -0.209239 | ||
| 0.01 | 0.705554 | 0.656940 | 0.614594 | 0.513440 | 0.347648 | 10.663137 | -0.209239 | ||
| 0.1 | 0.705554 | 0.656940 | 0.614594 | 0.513440 | 0.347648 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | 0.741969 | 0.678945 | 0.625789 | 0.543465 | 0.380037 | 10.663137 | -0.209239 | |
| 0.0001 | 0.741969 | 0.678945 | 0.625789 | 0.543465 | 0.380037 | 10.663137 | -0.209239 | ||
| 0.001 | 0.741969 | 0.678945 | 0.625789 | 0.543465 | 0.380037 | 10.663137 | -0.209239 | ||
| 0.01 | 0.741969 | 0.678945 | 0.625789 | 0.543465 | 0.380037 | 10.663137 | -0.209239 | ||
| 0.1 | 0.741969 | 0.678945 | 0.625789 | 0.543465 | 0.380037 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | 0.705554 | 0.656940 | 0.614594 | 0.513440 | 0.347648 | 10.663137 | -0.209239 | |
| 0.0001 | 0.705554 | 0.656940 | 0.614594 | 0.513440 | 0.347648 | 10.663137 | -0.209239 | ||
| 0.001 | 0.705554 | 0.656940 | 0.614594 | 0.513440 | 0.347648 | 10.663137 | -0.209239 | ||
| 0.01 | 0.705554 | 0.656940 | 0.614594 | 0.513440 | 0.347648 | 10.663137 | -0.209239 | ||
| 0.1 | 0.705554 | 0.656940 | 0.614594 | 0.513440 | 0.347648 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | 0.741969 | 0.678945 | 0.625789 | 0.543465 | 0.380037 | 10.663137 | -0.209239 | |
| 0.0001 | 0.741969 | 0.678945 | 0.625789 | 0.543465 | 0.380037 | 10.663137 | -0.209239 | ||
| 0.001 | 0.741969 | 0.678945 | 0.625789 | 0.543465 | 0.380037 | 10.663137 | -0.209239 | ||
| 0.01 | 0.741969 | 0.678945 | 0.625789 | 0.543465 | 0.380037 | 10.663137 | -0.209239 | ||
| 0.1 | 0.741969 | 0.678945 | 0.625789 | 0.543465 | 0.380037 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.558866 | 0.415329 | 0.330456 | 0.085944 | 0.007322 | 10.663137 | -0.209239 | |
| 0.0001 | 0.558866 | 0.415329 | 0.330456 | 0.085944 | 0.007322 | 10.663137 | -0.209239 | ||
| 0.001 | 0.558866 | 0.415329 | 0.330456 | 0.085944 | 0.007322 | 10.663137 | -0.209239 | ||
| 0.01 | 0.558866 | 0.415329 | 0.330456 | 0.085944 | 0.007322 | 10.663137 | -0.209239 | ||
| 0.1 | 0.558866 | 0.415329 | 0.330456 | 0.085944 | 0.007322 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | 0.747669 | 0.676667 | 0.617980 | 0.536490 | 0.365002 | 10.663137 | -0.209239 | |
| 0.0001 | 0.747669 | 0.676667 | 0.617980 | 0.536490 | 0.365002 | 10.663137 | -0.209239 | ||
| 0.001 | 0.747669 | 0.676667 | 0.617980 | 0.536490 | 0.365002 | 10.663137 | -0.209239 | ||
| 0.01 | 0.747669 | 0.676667 | 0.617980 | 0.536490 | 0.365002 | 10.663137 | -0.209239 | ||
| 0.1 | 0.747669 | 0.676667 | 0.617980 | 0.536490 | 0.365002 | 10.663137 | -0.209239 | ||
| 5 | euclidean | 1e-05 | 0.955963 | 0.960209 | 0.964493 | 0.946037 | 0.920004 | 10.663137 | -0.209239 |
| 0.0001 | 0.955963 | 0.960209 | 0.964493 | 0.946037 | 0.920004 | 10.663137 | -0.209239 | ||
| 0.001 | 0.955963 | 0.960209 | 0.964493 | 0.946037 | 0.920004 | 10.663137 | -0.209239 | ||
| 0.01 | 0.955963 | 0.960209 | 0.964493 | 0.946037 | 0.920004 | 10.663137 | -0.209239 | ||
| 0.1 | 0.955963 | 0.960209 | 0.964493 | 0.946037 | 0.920004 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | 0.751716 | 0.745028 | 0.738458 | 0.653711 | 0.536624 | 10.663137 | -0.209239 | |
| 0.0001 | 0.751716 | 0.745028 | 0.738458 | 0.653711 | 0.536624 | 10.663137 | -0.209239 | ||
| 0.001 | 0.751716 | 0.745028 | 0.738458 | 0.653711 | 0.536624 | 10.663137 | -0.209239 | ||
| 0.01 | 0.751716 | 0.745028 | 0.738458 | 0.653711 | 0.536624 | 10.663137 | -0.209239 | ||
| 0.1 | 0.751716 | 0.745028 | 0.738458 | 0.653711 | 0.536624 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | 0.955963 | 0.960209 | 0.964493 | 0.946037 | 0.920004 | 10.663137 | -0.209239 | |
| 0.0001 | 0.955963 | 0.960209 | 0.964493 | 0.946037 | 0.920004 | 10.663137 | -0.209239 | ||
| 0.001 | 0.955963 | 0.960209 | 0.964493 | 0.946037 | 0.920004 | 10.663137 | -0.209239 | ||
| 0.01 | 0.955963 | 0.960209 | 0.964493 | 0.946037 | 0.920004 | 10.663137 | -0.209239 | ||
| 0.1 | 0.955963 | 0.960209 | 0.964493 | 0.946037 | 0.920004 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | 0.751716 | 0.745028 | 0.738458 | 0.653711 | 0.536624 | 10.663137 | -0.209239 | |
| 0.0001 | 0.751716 | 0.745028 | 0.738458 | 0.653711 | 0.536624 | 10.663137 | -0.209239 | ||
| 0.001 | 0.751716 | 0.745028 | 0.738458 | 0.653711 | 0.536624 | 10.663137 | -0.209239 | ||
| 0.01 | 0.751716 | 0.745028 | 0.738458 | 0.653711 | 0.536624 | 10.663137 | -0.209239 | ||
| 0.1 | 0.751716 | 0.745028 | 0.738458 | 0.653711 | 0.536624 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.510696 | 0.395365 | 0.322528 | 0.085849 | -0.000356 | 10.663137 | -0.209239 | |
| 0.0001 | 0.510696 | 0.395365 | 0.322528 | 0.085849 | -0.000356 | 10.663137 | -0.209239 | ||
| 0.001 | 0.510696 | 0.395365 | 0.322528 | 0.085849 | -0.000356 | 10.663137 | -0.209239 | ||
| 0.01 | 0.510696 | 0.395365 | 0.322528 | 0.085849 | -0.000356 | 10.663137 | -0.209239 | ||
| 0.1 | 0.510696 | 0.395365 | 0.322528 | 0.085849 | -0.000356 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | 0.726195 | 0.729705 | 0.733249 | 0.633681 | 0.524617 | 10.663137 | -0.209239 | |
| 0.0001 | 0.726195 | 0.729705 | 0.733249 | 0.633681 | 0.524617 | 10.663137 | -0.209239 | ||
| 0.001 | 0.726195 | 0.729705 | 0.733249 | 0.633681 | 0.524617 | 10.663137 | -0.209239 | ||
| 0.01 | 0.726195 | 0.729705 | 0.733249 | 0.633681 | 0.524617 | 10.663137 | -0.209239 | ||
| 0.1 | 0.726195 | 0.729705 | 0.733249 | 0.633681 | 0.524617 | 10.663137 | -0.209239 | ||
| 6 | euclidean | 1e-05 | 0.674172 | 0.713712 | 0.758180 | 0.623517 | 0.495043 | 10.663137 | -0.209239 |
| 0.0001 | 0.674172 | 0.713712 | 0.758180 | 0.623517 | 0.495043 | 10.663137 | -0.209239 | ||
| 0.001 | 0.674172 | 0.713712 | 0.758180 | 0.623517 | 0.495043 | 10.663137 | -0.209239 | ||
| 0.01 | 0.674172 | 0.713712 | 0.758180 | 0.623517 | 0.495043 | 10.663137 | -0.209239 | ||
| 0.1 | 0.674172 | 0.713712 | 0.758180 | 0.623517 | 0.495043 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | 0.625709 | 0.670647 | 0.722540 | 0.568950 | 0.443202 | 10.663137 | -0.209239 | |
| 0.0001 | 0.625709 | 0.670647 | 0.722540 | 0.568950 | 0.443202 | 10.663137 | -0.209239 | ||
| 0.001 | 0.625709 | 0.670647 | 0.722540 | 0.568950 | 0.443202 | 10.663137 | -0.209239 | ||
| 0.01 | 0.625709 | 0.670647 | 0.722540 | 0.568950 | 0.443202 | 10.663137 | -0.209239 | ||
| 0.1 | 0.625709 | 0.670647 | 0.722540 | 0.568950 | 0.443202 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | 0.674172 | 0.713712 | 0.758180 | 0.623517 | 0.495043 | 10.663137 | -0.209239 | |
| 0.0001 | 0.674172 | 0.713712 | 0.758180 | 0.623517 | 0.495043 | 10.663137 | -0.209239 | ||
| 0.001 | 0.674172 | 0.713712 | 0.758180 | 0.623517 | 0.495043 | 10.663137 | -0.209239 | ||
| 0.01 | 0.674172 | 0.713712 | 0.758180 | 0.623517 | 0.495043 | 10.663137 | -0.209239 | ||
| 0.1 | 0.674172 | 0.713712 | 0.758180 | 0.623517 | 0.495043 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | 0.625709 | 0.670647 | 0.722540 | 0.568950 | 0.443202 | 10.663137 | -0.209239 | |
| 0.0001 | 0.625709 | 0.670647 | 0.722540 | 0.568950 | 0.443202 | 10.663137 | -0.209239 | ||
| 0.001 | 0.625709 | 0.670647 | 0.722540 | 0.568950 | 0.443202 | 10.663137 | -0.209239 | ||
| 0.01 | 0.625709 | 0.670647 | 0.722540 | 0.568950 | 0.443202 | 10.663137 | -0.209239 | ||
| 0.1 | 0.625709 | 0.670647 | 0.722540 | 0.568950 | 0.443202 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.493831 | 0.391011 | 0.323629 | 0.096895 | -0.005868 | 10.663137 | -0.209239 | |
| 0.0001 | 0.493831 | 0.391011 | 0.323629 | 0.096895 | -0.005868 | 10.663137 | -0.209239 | ||
| 0.001 | 0.493831 | 0.391011 | 0.323629 | 0.096895 | -0.005868 | 10.663137 | -0.209239 | ||
| 0.01 | 0.493831 | 0.391011 | 0.323629 | 0.096895 | -0.005868 | 10.663137 | -0.209239 | ||
| 0.1 | 0.493831 | 0.391011 | 0.323629 | 0.096895 | -0.005868 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | 0.533702 | 0.613158 | 0.720409 | 0.506137 | 0.382504 | 10.663137 | -0.209239 | |
| 0.0001 | 0.533702 | 0.613158 | 0.720409 | 0.506137 | 0.382504 | 10.663137 | -0.209239 | ||
| 0.001 | 0.533702 | 0.613158 | 0.720409 | 0.506137 | 0.382504 | 10.663137 | -0.209239 | ||
| 0.01 | 0.533702 | 0.613158 | 0.720409 | 0.506137 | 0.382504 | 10.663137 | -0.209239 | ||
| 0.1 | 0.533702 | 0.613158 | 0.720409 | 0.506137 | 0.382504 | 10.663137 | -0.209239 | ||
| 7 | euclidean | 1e-05 | 0.506561 | 0.592165 | 0.712586 | 0.485360 | 0.357739 | 10.663137 | -0.209239 |
| 0.0001 | 0.506561 | 0.592165 | 0.712586 | 0.485360 | 0.357739 | 10.663137 | -0.209239 | ||
| 0.001 | 0.506561 | 0.592165 | 0.712586 | 0.485360 | 0.357739 | 10.663137 | -0.209239 | ||
| 0.01 | 0.506561 | 0.592165 | 0.712586 | 0.485360 | 0.357739 | 10.663137 | -0.209239 | ||
| 0.1 | 0.506561 | 0.592165 | 0.712586 | 0.485360 | 0.357739 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | 0.507867 | 0.590425 | 0.705035 | 0.482585 | 0.346081 | 10.663137 | -0.209239 | |
| 0.0001 | 0.507867 | 0.590425 | 0.705035 | 0.482585 | 0.346081 | 10.663137 | -0.209239 | ||
| 0.001 | 0.507867 | 0.590425 | 0.705035 | 0.482585 | 0.346081 | 10.663137 | -0.209239 | ||
| 0.01 | 0.507867 | 0.590425 | 0.705035 | 0.482585 | 0.346081 | 10.663137 | -0.209239 | ||
| 0.1 | 0.507867 | 0.590425 | 0.705035 | 0.482585 | 0.346081 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | 0.506561 | 0.592165 | 0.712586 | 0.485360 | 0.357739 | 10.663137 | -0.209239 | |
| 0.0001 | 0.506561 | 0.592165 | 0.712586 | 0.485360 | 0.357739 | 10.663137 | -0.209239 | ||
| 0.001 | 0.506561 | 0.592165 | 0.712586 | 0.485360 | 0.357739 | 10.663137 | -0.209239 | ||
| 0.01 | 0.506561 | 0.592165 | 0.712586 | 0.485360 | 0.357739 | 10.663137 | -0.209239 | ||
| 0.1 | 0.506561 | 0.592165 | 0.712586 | 0.485360 | 0.357739 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | 0.507867 | 0.590425 | 0.705035 | 0.482585 | 0.346081 | 10.663137 | -0.209239 | |
| 0.0001 | 0.507867 | 0.590425 | 0.705035 | 0.482585 | 0.346081 | 10.663137 | -0.209239 | ||
| 0.001 | 0.507867 | 0.590425 | 0.705035 | 0.482585 | 0.346081 | 10.663137 | -0.209239 | ||
| 0.01 | 0.507867 | 0.590425 | 0.705035 | 0.482585 | 0.346081 | 10.663137 | -0.209239 | ||
| 0.1 | 0.507867 | 0.590425 | 0.705035 | 0.482585 | 0.346081 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.465245 | 0.386242 | 0.330175 | 0.116254 | 0.011180 | 10.663137 | -0.209239 | |
| 0.0001 | 0.465245 | 0.386242 | 0.330175 | 0.116254 | 0.011180 | 10.663137 | -0.209239 | ||
| 0.001 | 0.465245 | 0.386242 | 0.330175 | 0.116254 | 0.011180 | 10.663137 | -0.209239 | ||
| 0.01 | 0.465245 | 0.386242 | 0.330175 | 0.116254 | 0.011180 | 10.663137 | -0.209239 | ||
| 0.1 | 0.465245 | 0.386242 | 0.330175 | 0.116254 | 0.011180 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | 0.455632 | 0.550591 | 0.695552 | 0.441399 | 0.305363 | 10.663137 | -0.209239 | |
| 0.0001 | 0.455632 | 0.550591 | 0.695552 | 0.441399 | 0.305363 | 10.663137 | -0.209239 | ||
| 0.001 | 0.455632 | 0.550591 | 0.695552 | 0.441399 | 0.305363 | 10.663137 | -0.209239 | ||
| 0.01 | 0.455632 | 0.550591 | 0.695552 | 0.441399 | 0.305363 | 10.663137 | -0.209239 | ||
| 0.1 | 0.455632 | 0.550591 | 0.695552 | 0.441399 | 0.305363 | 10.663137 | -0.209239 | ||
| 8 | euclidean | 1e-05 | 0.388190 | 0.492738 | 0.674358 | 0.384024 | 0.254015 | 10.663137 | -0.209239 |
| 0.0001 | 0.388190 | 0.492738 | 0.674358 | 0.384024 | 0.254015 | 10.663137 | -0.209239 | ||
| 0.001 | 0.388190 | 0.492738 | 0.674358 | 0.384024 | 0.254015 | 10.663137 | -0.209239 | ||
| 0.01 | 0.388190 | 0.492738 | 0.674358 | 0.384024 | 0.254015 | 10.663137 | -0.209239 | ||
| 0.1 | 0.388190 | 0.492738 | 0.674358 | 0.384024 | 0.254015 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | 0.411434 | 0.496161 | 0.624835 | 0.377584 | 0.243194 | 10.663137 | -0.209239 | |
| 0.0001 | 0.411434 | 0.496161 | 0.624835 | 0.377584 | 0.243194 | 10.663137 | -0.209239 | ||
| 0.001 | 0.411434 | 0.496161 | 0.624835 | 0.377584 | 0.243194 | 10.663137 | -0.209239 | ||
| 0.01 | 0.411434 | 0.496161 | 0.624835 | 0.377584 | 0.243194 | 10.663137 | -0.209239 | ||
| 0.1 | 0.411434 | 0.496161 | 0.624835 | 0.377584 | 0.243194 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | 0.388190 | 0.492738 | 0.674358 | 0.384024 | 0.254015 | 10.663137 | -0.209239 | |
| 0.0001 | 0.388190 | 0.492738 | 0.674358 | 0.384024 | 0.254015 | 10.663137 | -0.209239 | ||
| 0.001 | 0.388190 | 0.492738 | 0.674358 | 0.384024 | 0.254015 | 10.663137 | -0.209239 | ||
| 0.01 | 0.388190 | 0.492738 | 0.674358 | 0.384024 | 0.254015 | 10.663137 | -0.209239 | ||
| 0.1 | 0.388190 | 0.492738 | 0.674358 | 0.384024 | 0.254015 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | 0.411434 | 0.496161 | 0.624835 | 0.377584 | 0.243194 | 10.663137 | -0.209239 | |
| 0.0001 | 0.411434 | 0.496161 | 0.624835 | 0.377584 | 0.243194 | 10.663137 | -0.209239 | ||
| 0.001 | 0.411434 | 0.496161 | 0.624835 | 0.377584 | 0.243194 | 10.663137 | -0.209239 | ||
| 0.01 | 0.411434 | 0.496161 | 0.624835 | 0.377584 | 0.243194 | 10.663137 | -0.209239 | ||
| 0.1 | 0.411434 | 0.496161 | 0.624835 | 0.377584 | 0.243194 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.458147 | 0.385887 | 0.333316 | 0.127272 | 0.014285 | 10.663137 | -0.209239 | |
| 0.0001 | 0.458147 | 0.385887 | 0.333316 | 0.127272 | 0.014285 | 10.663137 | -0.209239 | ||
| 0.001 | 0.458147 | 0.385887 | 0.333316 | 0.127272 | 0.014285 | 10.663137 | -0.209239 | ||
| 0.01 | 0.458147 | 0.385887 | 0.333316 | 0.127272 | 0.014285 | 10.663137 | -0.209239 | ||
| 0.1 | 0.458147 | 0.385887 | 0.333316 | 0.127272 | 0.014285 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | 0.341850 | 0.447163 | 0.646253 | 0.335043 | 0.203390 | 10.663137 | -0.209239 | |
| 0.0001 | 0.341850 | 0.447163 | 0.646253 | 0.335043 | 0.203390 | 10.663137 | -0.209239 | ||
| 0.001 | 0.341850 | 0.447163 | 0.646253 | 0.335043 | 0.203390 | 10.663137 | -0.209239 | ||
| 0.01 | 0.341850 | 0.447163 | 0.646253 | 0.335043 | 0.203390 | 10.663137 | -0.209239 | ||
| 0.1 | 0.341850 | 0.447163 | 0.646253 | 0.335043 | 0.203390 | 10.663137 | -0.209239 | ||
| 9 | euclidean | 1e-05 | 0.309363 | 0.413460 | 0.623141 | 0.303874 | 0.178866 | 10.663137 | -0.209239 |
| 0.0001 | 0.309363 | 0.413460 | 0.623141 | 0.303874 | 0.178866 | 10.663137 | -0.209239 | ||
| 0.001 | 0.309363 | 0.413460 | 0.623141 | 0.303874 | 0.178866 | 10.663137 | -0.209239 | ||
| 0.01 | 0.309363 | 0.413460 | 0.623141 | 0.303874 | 0.178866 | 10.663137 | -0.209239 | ||
| 0.1 | 0.309363 | 0.413460 | 0.623141 | 0.303874 | 0.178866 | 10.663137 | -0.209239 | ||
| l1 | 1e-05 | 0.267865 | 0.375524 | 0.627879 | 0.272873 | 0.146212 | 10.663137 | -0.209239 | |
| 0.0001 | 0.267865 | 0.375524 | 0.627879 | 0.272873 | 0.146212 | 10.663137 | -0.209239 | ||
| 0.001 | 0.267865 | 0.375524 | 0.627879 | 0.272873 | 0.146212 | 10.663137 | -0.209239 | ||
| 0.01 | 0.267865 | 0.375524 | 0.627879 | 0.272873 | 0.146212 | 10.663137 | -0.209239 | ||
| 0.1 | 0.267865 | 0.375524 | 0.627879 | 0.272873 | 0.146212 | 10.663137 | -0.209239 | ||
| l2 | 1e-05 | 0.309363 | 0.413460 | 0.623141 | 0.303874 | 0.178866 | 10.663137 | -0.209239 | |
| 0.0001 | 0.309363 | 0.413460 | 0.623141 | 0.303874 | 0.178866 | 10.663137 | -0.209239 | ||
| 0.001 | 0.309363 | 0.413460 | 0.623141 | 0.303874 | 0.178866 | 10.663137 | -0.209239 | ||
| 0.01 | 0.309363 | 0.413460 | 0.623141 | 0.303874 | 0.178866 | 10.663137 | -0.209239 | ||
| 0.1 | 0.309363 | 0.413460 | 0.623141 | 0.303874 | 0.178866 | 10.663137 | -0.209239 | ||
| manhattan | 1e-05 | 0.267865 | 0.375524 | 0.627879 | 0.272873 | 0.146212 | 10.663137 | -0.209239 | |
| 0.0001 | 0.267865 | 0.375524 | 0.627879 | 0.272873 | 0.146212 | 10.663137 | -0.209239 | ||
| 0.001 | 0.267865 | 0.375524 | 0.627879 | 0.272873 | 0.146212 | 10.663137 | -0.209239 | ||
| 0.01 | 0.267865 | 0.375524 | 0.627879 | 0.272873 | 0.146212 | 10.663137 | -0.209239 | ||
| 0.1 | 0.267865 | 0.375524 | 0.627879 | 0.272873 | 0.146212 | 10.663137 | -0.209239 | ||
| cosine | 1e-05 | 0.450830 | 0.384858 | 0.335730 | 0.135140 | 0.015586 | 10.663137 | -0.209239 | |
| 0.0001 | 0.450830 | 0.384858 | 0.335730 | 0.135140 | 0.015586 | 10.663137 | -0.209239 | ||
| 0.001 | 0.450830 | 0.384858 | 0.335730 | 0.135140 | 0.015586 | 10.663137 | -0.209239 | ||
| 0.01 | 0.450830 | 0.384858 | 0.335730 | 0.135140 | 0.015586 | 10.663137 | -0.209239 | ||
| 0.1 | 0.450830 | 0.384858 | 0.335730 | 0.135140 | 0.015586 | 10.663137 | -0.209239 | ||
| chebyshev | 1e-05 | 0.305185 | 0.415600 | 0.651207 | 0.310815 | 0.186614 | 10.663137 | -0.209239 | |
| 0.0001 | 0.305185 | 0.415600 | 0.651207 | 0.310815 | 0.186614 | 10.663137 | -0.209239 | ||
| 0.001 | 0.305185 | 0.415600 | 0.651207 | 0.310815 | 0.186614 | 10.663137 | -0.209239 | ||
| 0.01 | 0.305185 | 0.415600 | 0.651207 | 0.310815 | 0.186614 | 10.663137 | -0.209239 | ||
| 0.1 | 0.305185 | 0.415600 | 0.651207 | 0.310815 | 0.186614 | 10.663137 | -0.209239 |
Seems like 4 clusters and Euclidean or L2 are the best for OPTICS algorithm. Epsilon doesn't influence on change metrics values.
clusters_range = range(2, 10)
distance_metrics = ('euclidean', 'l1', 'l2', 'manhattan', 'cosine')
agglomerative_clustering_labels_mapping = defaultdict(dict)
index = pd.MultiIndex.from_product((clusters_range, distance_metrics))
metrics_dataframe_agglomerative = pd.DataFrame(index=index, columns=clustering_metrics_titles)
for nclusters, distance_metric in itertools.product(clusters_range, distance_metrics):
algorithm = AgglomerativeClustering(n_clusters=nclusters, affinity=distance_metric, linkage='average')
agglomerative_predictions = algorithm.fit_predict(data)
agglomerative_clustering_labels_mapping[nclusters][distance_metric] = agglomerative_predictions
for metric, metric_title in zip(clustering_metrics, clustering_metrics_titles):
if metric_title not in ('silhouette_score', 'davies_bouldin_score', 'calinski_harabasz_score'):
metrics_dataframe_agglomerative.loc[(nclusters, distance_metric), metric_title] = metric(
labels, agglomerative_predictions)
else:
metrics_dataframe_agglomerative.loc[(nclusters, distance_metric), metric_title] = metric(data, labels)
metrics_dataframe_agglomerative.index.names = ['nclusters', 'affinity']
metrics_dataframe_agglomerative
| homogeneity_score | silhouette_score | davies_bouldin_score | adjusted_rand_index | calinski_harabasz_score | adjusted_mutual_info | v_measure_score | completeness_score | ||
|---|---|---|---|---|---|---|---|---|---|
| nclusters | affinity | ||||||||
| 2 | euclidean | 0.000437997 | -0.209239 | 1.65569 | -0.00275536 | 10.6631 | -0.00190102 | 0.000871643 | 0.0877418 |
| l1 | 0.000218846 | -0.209239 | 1.65569 | -0.00138003 | 10.6631 | -0.00123876 | 0.000436497 | 0.079989 | |
| l2 | 0.000437997 | -0.209239 | 1.65569 | -0.00275536 | 10.6631 | -0.00190102 | 0.000871643 | 0.0877418 | |
| manhattan | 0.000218846 | -0.209239 | 1.65569 | -0.00138003 | 10.6631 | -0.00123876 | 0.000436497 | 0.079989 | |
| cosine | 0.104759 | -0.209239 | 1.65569 | -0.00717091 | 10.6631 | 0.155184 | 0.170542 | 0.458369 | |
| 3 | euclidean | 0.0158739 | -0.209239 | 1.65569 | -0.00356124 | 10.6631 | 0.0156289 | 0.0305198 | 0.39451 |
| l1 | 0.112308 | -0.209239 | 1.65569 | 0.0019127 | 10.6631 | 0.164905 | 0.180853 | 0.464125 | |
| l2 | 0.0158739 | -0.209239 | 1.65569 | -0.00356124 | 10.6631 | 0.0156289 | 0.0305198 | 0.39451 | |
| manhattan | 0.112308 | -0.209239 | 1.65569 | 0.0019127 | 10.6631 | 0.164905 | 0.180853 | 0.464125 | |
| cosine | 0.126093 | -0.209239 | 1.65569 | -0.0156452 | 10.6631 | 0.167967 | 0.195924 | 0.439104 | |
| 4 | euclidean | 0.0180388 | -0.209239 | 1.65569 | -0.00356868 | 10.6631 | 0.015776 | 0.034525 | 0.401105 |
| l1 | 0.144623 | -0.209239 | 1.65569 | 0.00675767 | 10.6631 | 0.192959 | 0.220541 | 0.464238 | |
| l2 | 0.0180388 | -0.209239 | 1.65569 | -0.00356868 | 10.6631 | 0.015776 | 0.034525 | 0.401105 | |
| manhattan | 0.144623 | -0.209239 | 1.65569 | 0.00675767 | 10.6631 | 0.192959 | 0.220541 | 0.464238 | |
| cosine | 0.192417 | -0.209239 | 1.65569 | -0.00463879 | 10.6631 | 0.232211 | 0.268141 | 0.442145 | |
| 5 | euclidean | 0.126127 | -0.209239 | 1.65569 | -0.00182424 | 10.6631 | 0.170065 | 0.197367 | 0.453537 |
| l1 | 0.179476 | -0.209239 | 1.65569 | -0.024626 | 10.6631 | 0.217509 | 0.255725 | 0.444616 | |
| l2 | 0.126127 | -0.209239 | 1.65569 | -0.00182424 | 10.6631 | 0.170065 | 0.197367 | 0.453537 | |
| manhattan | 0.179476 | -0.209239 | 1.65569 | -0.024626 | 10.6631 | 0.217509 | 0.255725 | 0.444616 | |
| cosine | 0.223445 | -0.209239 | 1.65569 | -0.0096054 | 10.6631 | 0.250904 | 0.296308 | 0.439686 | |
| 6 | euclidean | 0.164104 | -0.209239 | 1.65569 | -0.00906657 | 10.6631 | 0.20218 | 0.240161 | 0.447613 |
| l1 | 0.180344 | -0.209239 | 1.65569 | -0.0251863 | 10.6631 | 0.215481 | 0.256004 | 0.441026 | |
| l2 | 0.164104 | -0.209239 | 1.65569 | -0.00906657 | 10.6631 | 0.20218 | 0.240161 | 0.447613 | |
| manhattan | 0.180344 | -0.209239 | 1.65569 | -0.0251863 | 10.6631 | 0.215481 | 0.256004 | 0.441026 | |
| cosine | 0.255218 | -0.209239 | 1.65569 | -0.00159601 | 10.6631 | 0.269808 | 0.322809 | 0.439098 | |
| 7 | euclidean | 0.170644 | -0.209239 | 1.65569 | -0.0118611 | 10.6631 | 0.200783 | 0.246049 | 0.440851 |
| l1 | 0.180879 | -0.209239 | 1.65569 | -0.0268318 | 10.6631 | 0.212677 | 0.255667 | 0.435897 | |
| l2 | 0.170644 | -0.209239 | 1.65569 | -0.0118611 | 10.6631 | 0.200783 | 0.246049 | 0.440851 | |
| manhattan | 0.180879 | -0.209239 | 1.65569 | -0.0268318 | 10.6631 | 0.212677 | 0.255667 | 0.435897 | |
| cosine | 0.266096 | -0.209239 | 1.65569 | -0.00358133 | 10.6631 | 0.270759 | 0.330466 | 0.435916 | |
| 8 | euclidean | 0.207004 | -0.209239 | 1.65569 | -0.0302543 | 10.6631 | 0.227058 | 0.280657 | 0.435674 |
| l1 | 0.214953 | -0.209239 | 1.65569 | -0.0264911 | 10.6631 | 0.236308 | 0.287495 | 0.433944 | |
| l2 | 0.207004 | -0.209239 | 1.65569 | -0.0302543 | 10.6631 | 0.227058 | 0.280657 | 0.435674 | |
| manhattan | 0.214953 | -0.209239 | 1.65569 | -0.0264911 | 10.6631 | 0.236308 | 0.287495 | 0.433944 | |
| cosine | 0.292581 | -0.209239 | 1.65569 | -0.0102035 | 10.6631 | 0.283028 | 0.349638 | 0.434341 | |
| 9 | euclidean | 0.227325 | -0.209239 | 1.65569 | -0.037543 | 10.6631 | 0.237106 | 0.297703 | 0.431199 |
| l1 | 0.252884 | -0.209239 | 1.65569 | -0.0287025 | 10.6631 | 0.26251 | 0.320768 | 0.438472 | |
| l2 | 0.227325 | -0.209239 | 1.65569 | -0.037543 | 10.6631 | 0.237106 | 0.297703 | 0.431199 | |
| manhattan | 0.252884 | -0.209239 | 1.65569 | -0.0287025 | 10.6631 | 0.26251 | 0.320768 | 0.438472 | |
| cosine | 0.311223 | -0.209239 | 1.65569 | -0.0112748 | 10.6631 | 0.289587 | 0.362611 | 0.434326 |
metrics_dataframe_agglomerative[metrics_min].style.apply(highlight_min)
| davies_bouldin_score | ||
|---|---|---|
| nclusters | affinity | |
| 2 | euclidean | 1.655692 |
| l1 | 1.655692 | |
| l2 | 1.655692 | |
| manhattan | 1.655692 | |
| cosine | 1.655692 | |
| 3 | euclidean | 1.655692 |
| l1 | 1.655692 | |
| l2 | 1.655692 | |
| manhattan | 1.655692 | |
| cosine | 1.655692 | |
| 4 | euclidean | 1.655692 |
| l1 | 1.655692 | |
| l2 | 1.655692 | |
| manhattan | 1.655692 | |
| cosine | 1.655692 | |
| 5 | euclidean | 1.655692 |
| l1 | 1.655692 | |
| l2 | 1.655692 | |
| manhattan | 1.655692 | |
| cosine | 1.655692 | |
| 6 | euclidean | 1.655692 |
| l1 | 1.655692 | |
| l2 | 1.655692 | |
| manhattan | 1.655692 | |
| cosine | 1.655692 | |
| 7 | euclidean | 1.655692 |
| l1 | 1.655692 | |
| l2 | 1.655692 | |
| manhattan | 1.655692 | |
| cosine | 1.655692 | |
| 8 | euclidean | 1.655692 |
| l1 | 1.655692 | |
| l2 | 1.655692 | |
| manhattan | 1.655692 | |
| cosine | 1.655692 | |
| 9 | euclidean | 1.655692 |
| l1 | 1.655692 | |
| l2 | 1.655692 | |
| manhattan | 1.655692 | |
| cosine | 1.655692 |
metrics_dataframe_agglomerative[metrics_max].style.apply(highlight_max)
| homogeneity_score | v_measure_score | completeness_score | adjusted_mutual_info | adjusted_rand_index | calinski_harabasz_score | silhouette_score | ||
|---|---|---|---|---|---|---|---|---|
| nclusters | affinity | |||||||
| 2 | euclidean | 0.000438 | 0.000872 | 0.087742 | -0.001901 | -0.002755 | 10.663137 | -0.209239 |
| l1 | 0.000219 | 0.000436 | 0.079989 | -0.001239 | -0.001380 | 10.663137 | -0.209239 | |
| l2 | 0.000438 | 0.000872 | 0.087742 | -0.001901 | -0.002755 | 10.663137 | -0.209239 | |
| manhattan | 0.000219 | 0.000436 | 0.079989 | -0.001239 | -0.001380 | 10.663137 | -0.209239 | |
| cosine | 0.104759 | 0.170542 | 0.458369 | 0.155184 | -0.007171 | 10.663137 | -0.209239 | |
| 3 | euclidean | 0.015874 | 0.030520 | 0.394510 | 0.015629 | -0.003561 | 10.663137 | -0.209239 |
| l1 | 0.112308 | 0.180853 | 0.464125 | 0.164905 | 0.001913 | 10.663137 | -0.209239 | |
| l2 | 0.015874 | 0.030520 | 0.394510 | 0.015629 | -0.003561 | 10.663137 | -0.209239 | |
| manhattan | 0.112308 | 0.180853 | 0.464125 | 0.164905 | 0.001913 | 10.663137 | -0.209239 | |
| cosine | 0.126093 | 0.195924 | 0.439104 | 0.167967 | -0.015645 | 10.663137 | -0.209239 | |
| 4 | euclidean | 0.018039 | 0.034525 | 0.401105 | 0.015776 | -0.003569 | 10.663137 | -0.209239 |
| l1 | 0.144623 | 0.220541 | 0.464238 | 0.192959 | 0.006758 | 10.663137 | -0.209239 | |
| l2 | 0.018039 | 0.034525 | 0.401105 | 0.015776 | -0.003569 | 10.663137 | -0.209239 | |
| manhattan | 0.144623 | 0.220541 | 0.464238 | 0.192959 | 0.006758 | 10.663137 | -0.209239 | |
| cosine | 0.192417 | 0.268141 | 0.442145 | 0.232211 | -0.004639 | 10.663137 | -0.209239 | |
| 5 | euclidean | 0.126127 | 0.197367 | 0.453537 | 0.170065 | -0.001824 | 10.663137 | -0.209239 |
| l1 | 0.179476 | 0.255725 | 0.444616 | 0.217509 | -0.024626 | 10.663137 | -0.209239 | |
| l2 | 0.126127 | 0.197367 | 0.453537 | 0.170065 | -0.001824 | 10.663137 | -0.209239 | |
| manhattan | 0.179476 | 0.255725 | 0.444616 | 0.217509 | -0.024626 | 10.663137 | -0.209239 | |
| cosine | 0.223445 | 0.296308 | 0.439686 | 0.250904 | -0.009605 | 10.663137 | -0.209239 | |
| 6 | euclidean | 0.164104 | 0.240161 | 0.447613 | 0.202180 | -0.009067 | 10.663137 | -0.209239 |
| l1 | 0.180344 | 0.256004 | 0.441026 | 0.215481 | -0.025186 | 10.663137 | -0.209239 | |
| l2 | 0.164104 | 0.240161 | 0.447613 | 0.202180 | -0.009067 | 10.663137 | -0.209239 | |
| manhattan | 0.180344 | 0.256004 | 0.441026 | 0.215481 | -0.025186 | 10.663137 | -0.209239 | |
| cosine | 0.255218 | 0.322809 | 0.439098 | 0.269808 | -0.001596 | 10.663137 | -0.209239 | |
| 7 | euclidean | 0.170644 | 0.246049 | 0.440851 | 0.200783 | -0.011861 | 10.663137 | -0.209239 |
| l1 | 0.180879 | 0.255667 | 0.435897 | 0.212677 | -0.026832 | 10.663137 | -0.209239 | |
| l2 | 0.170644 | 0.246049 | 0.440851 | 0.200783 | -0.011861 | 10.663137 | -0.209239 | |
| manhattan | 0.180879 | 0.255667 | 0.435897 | 0.212677 | -0.026832 | 10.663137 | -0.209239 | |
| cosine | 0.266096 | 0.330466 | 0.435916 | 0.270759 | -0.003581 | 10.663137 | -0.209239 | |
| 8 | euclidean | 0.207004 | 0.280657 | 0.435674 | 0.227058 | -0.030254 | 10.663137 | -0.209239 |
| l1 | 0.214953 | 0.287495 | 0.433944 | 0.236308 | -0.026491 | 10.663137 | -0.209239 | |
| l2 | 0.207004 | 0.280657 | 0.435674 | 0.227058 | -0.030254 | 10.663137 | -0.209239 | |
| manhattan | 0.214953 | 0.287495 | 0.433944 | 0.236308 | -0.026491 | 10.663137 | -0.209239 | |
| cosine | 0.292581 | 0.349638 | 0.434341 | 0.283028 | -0.010204 | 10.663137 | -0.209239 | |
| 9 | euclidean | 0.227325 | 0.297703 | 0.431199 | 0.237106 | -0.037543 | 10.663137 | -0.209239 |
| l1 | 0.252884 | 0.320768 | 0.438472 | 0.262510 | -0.028702 | 10.663137 | -0.209239 | |
| l2 | 0.227325 | 0.297703 | 0.431199 | 0.237106 | -0.037543 | 10.663137 | -0.209239 | |
| manhattan | 0.252884 | 0.320768 | 0.438472 | 0.262510 | -0.028702 | 10.663137 | -0.209239 | |
| cosine | 0.311223 | 0.362611 | 0.434326 | 0.289587 | -0.011275 | 10.663137 | -0.209239 |
Seems like 9 clusters and cosine are the best for Agglomerative Clustering algorithm
fig, axs = plt.subplots(nrows=len(clusters_range), ncols=len(distance_metrics), figsize=(100, 120))
idx = 0
for i, data_agg in enumerate(agglomerative_clustering_labels_mapping.items()):
nclusters, data_dict = data_agg
for j, data_agg1 in enumerate(data_dict.items()):
affinity, labels = data_agg1
colors_mapping = [(item/255.) for item in labels]
axs[i][j].scatter(data[:, 0], data[:, 1], c=colors_mapping);
axs[i][j].set_title('Agglomerative Clustering, number of selected clusters: {}, affinity: {}'.format(
nclusters, affinity))